总结 | ACL2022主会论文分类整理

大家好,我是对白。

ACL 2022是CCF A类会议,人工智能领域自然语言处理(Natural Language Processing,NLP)方向最权威的国际会议之一。第60届计算语言学协会计划于今年5月22日-5月27日在爱尔兰都柏林召开。

本文对ACL 2022接受列表中的的602篇主会长文论文,**按不同的研究主题进行分类整理(分类标准参考 ACL 官方投稿主题),**整理过程中难免有疏漏,欢迎大家在下方评论留言,交流探讨!

论文列表已经同步更新到 GitHub,欢迎大家关注和 Star。

目录

  • Adversarial attack and Robustness【对抗攻击和鲁棒性】

  • Dialogue and Interactive Systems【对话与交互系统】

  • Discourse and Pragmatics【语篇和语用学】

  • Data Augmentation【数据增广】

  • Generation【文本生成】

  • Information Extraction【信息抽取】

  • Information Retrieval and Text Mining【信息检索与文本挖掘】

  • Interpretability and Analysis of Models for NLP【NLP模型的可解释性与分析】

  • Language Model【语言模型】

  • Machine Learning for NLP【NLP中的机器学习】

  • Machine Translation and Multilinguality【机器翻译与多语】

  • Question Answering【问答与理解】

  • Resources and Evaluation【数据集与评估方法】

  • Sentence-level Semantics, Textual Classification, and Other Areas【句子级语义和关系推理】

  • Semantics and Syntax Parsing【语义与句法解析】

  • Speech and Multimodality【语音与多模态】

  • Summation【摘要】

  • Knowledge Graph【知识图谱】

  • Special Track【特殊任务】

Adversarial attack and Robustness【对抗攻击和鲁棒性】

  • Adversarial Authorship Attribution for Deobfuscation

  • Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis

  • Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via LossRestricted Fine-Tuning

  • From the Detection of Toxic Spans in Online Discussions to the Analysis of Toxic-to-Civil Transfer

  • Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost

  • ParaDetox: Detoxification with Parallel Data

  • Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models

  • SHIELD: Defending Textual Neural Networks against Multiple Black-Box

  • Adversarial Attacks with Stochastic Multi-Expert Patcher

  • Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation

  • ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Dialogue and Interactive Systems【对话与交互系统】

  • A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation

  • A Taxonomy of Empathetic Questions in Social Dialogs

  • Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection

  • Achieving Reliable Human Assessment of Open-Domain Dialogue Systems

  • An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation

  • Beyond Goldfish Memory: Long-Term Open-Domain Conversation

  • Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking

  • CASPI Causal-aware Safe Policy Improvement for Task-oriented Dialogue

  • ChatMatch: Evaluating Chatbots by Autonomous Chat Tournaments

  • CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

  • Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations

  • Continual Prompt Tuning for Dialog State Tracking

  • DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations

  • DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation

  • Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking

  • GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems

  • HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations

  • Improving Multi-label Malevolence Detection in Dialogues through Multifaceted Label Correlation Enhancement

  • Interactive Word Completion for Plains Cree

  • Internet-Augmented Dialogue Generation

  • Knowledge Enhanced Reflection Generation for Counseling Dialogues

  • M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database

  • MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation

  • Multi-Party Empathetic Dialogue Generation: A New Task for Dialog Systems

  • Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

  • Multimodal Dialogue Response Generation

  • Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue

  • Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

  • ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation

  • QAConv: Question Answering on Informative Conversations

  • SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures

  • SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems

  • SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues

  • Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation

  • Situated Dialogue Learning through Procedural Environment Generation

  • Structural Characterization for Dialogue Disentanglement

  • The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications

  • There Are a Thousand Hamlets in a Thousand People’s Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory

  • Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation

  • UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System

  • What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels

  • Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals

  • Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching

Discourse and Pragmatics【语篇和语用学】

  • CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations

  • Context Matters: A Pragmatic Study of PLMs’ Negation Understanding

  • Learning to Mediate Disparities Towards Pragmatic Communication

  • Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing

  • Neural reality of argument structure constructions

  • Probing for Predicate Argument Structures in Pretrained Language Models

  • RST Discourse Parsing with Second-Stage EDU-Level Pre-training

Data Augmentation【数据增广】

  • An Investigation of the (In)effectiveness of Counterfactually Augmented Data

  • CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation

  • Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation

  • Deduplicating Training Data Makes Language Models Better

  • FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

  • Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets

  • Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation

  • MELM: Data Augmentation with Masked Entity Language Modeling for LowResource NER

  • PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks

  • Synthetic Question Value Estimation for Domain Adaptation of Question Answering

  • Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data

Generation【文本生成】

  • A Token-level Reference-free Hallucination Detection Benchmark for Freeform Text Generation

  • A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation

  • Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding

  • Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons

  • AraT5: Text-to-Text Transformers for Arabic Language Generation

  • Continual Sequence Generation with Adaptive Compositional Modules

  • Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences

  • CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation

  • Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings

  • Fine-Grained Controllable Text Generation Using Non-Residual Prompting

  • Flexible Generation from Fragmentary Linguistic Input

  • FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation

  • Generating Scientific Definitions with Controllable Complexity

  • Hierarchical Sketch Induction for Paraphrase Generation

  • How Do Seq2Seq Models Perform on End-to-End Data-to-Text Generation?

  • Hybrid Semantics for Goal-Directed Natural Language Generation

  • Improving Compositional Generalization with Self-Training for Data-to-Text Generation

  • Improving Personalized Explanation Generation through Visualization

  • Inducing Positive Perspectives with Text Reframing

  • latent-GLAT: Glancing at Latent Variables for Parallel Text Generation

  • Lexical Knowledge Internalization for Neural Dialog Generation

  • Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models

  • Multitasking Framework for Unsupervised Simple Definition Generation

  • Neural Pipeline for Zero-Shot Data-to-Text Generation

  • Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems

  • ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation

  • Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages

  • PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation

  • Predicate-Argument Based Bi-Encoder for Paraphrase Identification

  • Principled Paraphrase Generation with Parallel Corpora

  • Quality Controlled Paraphrase Generation

  • Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings

  • RoMe: A Robust Metric for Evaluating Natural Language Generation

  • Semi-Supervised Formality Style Transfer with Consistency Training

  • So Different Yet So Alike! Constrained Unsupervised Text Style Transfer

  • Spurious Correlations in Reference-Free Evaluation of Text Generation

  • Tailor: Generating and Perturbing Text with Semantic Controls

  • Towards Better Characterization of Paraphrases

  • Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models

  • An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models

  • Understanding Iterative Revision from Human-Written Text

Information Extraction【信息抽取】

  • Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction

  • Automatic Error Analysis for Document-level Information Extraction

  • BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation

  • Dynamic Global Memory for Document-level Argument Extraction

  • Dynamic Prefix-Tuning for Generative Template-based Event Extraction

  • FaVIQ: FAct Verification from Information-seeking Questions

  • FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction

  • Generating Scientific Claims for Zero-Shot Scientific Fact Checking

  • JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection

  • KNN-Contrastive Learning for Out-of-Domain Intent Classification

  • Legal Judgment Prediction via Event Extraction with Constraints

  • MILIE: Modular & Iterative Multilingual Open Information Extraction

  • Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts

  • OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework

  • Packed Levitated Marker for Entity and Relation Extraction

  • Pre-training to Match for Unified Low-shot Relation Extraction

  • Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

  • Retrieval-guided Counterfactual Generation for QA

  • Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning

  • Saliency as Evidence: Event Detection with Trigger Saliency Attribution

  • Text-to-Table: A New Way of Information Extraction

  • Toward Interpretable Semantic Textual Similarity via Optimal Transportbased Contrastive Sentence Learning

  • Transkimmer: Transformer Learns to Layer-wise Skim

  • Unified Structure Generation for Universal Information Extraction

Information Retrieval and Text Mining【信息检索与文本挖掘】

  • Automatic Identification and Classification of Bragging in Social Media

  • Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining

  • Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?

  • ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification

  • Cross-Lingual Phrase Retrieval

  • Learning to Rank Visual Stories From Human Ranking Data

  • Multi-View Document Representation Learning for Open-Domain Dense Retrieval

  • New Intent Discovery with Pre-training and Contrastive Learning

  • Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge

  • RELiC: Retrieving Evidence for Literary Claims

  • Retrieval-guided Counterfactual Generation for QA

  • SDR: Efficient Neural Re-ranking using Succinct Document Representation

  • Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval

  • Show Me More Details: Discovering Hierarchies of Procedures from Semistructured Web Data

  • Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data

  • UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining

  • Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

  • Zoom Out and Observe: News Environment Perception for Fake News Detection

Interpretability and Analysis of Models for NLP【NLP模型的可解释性与分析】

  • A Closer Look at How Fine-tuning Changes BERT

  • A Comparative Study of Faithfulness Metrics for Model Interpretability Methods

  • A Comparison of Strategies for Source-Free Domain Adaptation

  • Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons

  • Adaptive Testing and Debugging of NLP Models

  • An Empirical Study of Memorization in NLP

  • An Empirical Study on Explanations in Out-of-Domain Settings

  • An Empirical Survey of the Effectiveness of Debiasing Techniques for Pretrained Language Models

  • An Investigation of the (In)effectiveness of Counterfactually Augmented Data

  • Can Explanations Be Useful for Calibrating Black Box Models?

  • Can Pre-trained Language Models Interpret Similes as Smart as Human?

  • Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View

  • Can Synthetic Translations Improve Bitext Quality?

  • Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation

  • Causal Probing for Grammatical Number: From Encoding to Usage

  • Coherence boosting: When your pretrained language model is not paying enough attention

  • Context Matters: A Pragmatic Study of PLMs’ Negation Understanding

  • Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure

  • Dataset Geography: Mapping Language Data to Language Users

  • Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?

  • Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED

  • Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning

  • Finding Structural Knowledge in Multimodal-BERT

  • Generating Biographies on Wikipedia: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies

  • GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models

  • How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language

  • ILDAE: Instance-Level Difficulty Analysis of Evaluation Data

  • IMPLI: Investigating NLI Models’ Performance on Figurative Language

  • Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors

  • Interpretability for Language Learners Using Example-Based Grammatical Error Correction

  • Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color

  • Investigating Failures of Automatic Translation in the Case of Unambiguous Gender

  • Investigating Non-local Features for Neural Constituency Parsing

  • Is Attention Explanation? An Introduction to the Debate

  • Life after BERT: What do Other Muppets Understand about Language?

  • Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice

  • Measuring Fairness of Text Classifiers via Prediction Sensitivity

  • Memorisation versus Generalisation in Pre-trained Language Models

  • Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages

  • On the Sensitivity and Stability of Model Interpretations in NLP

  • Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models

  • Probing as Quantifying Inductive Bias

  • Probing Simile Knowledge from Pre-trained Language Models

  • ProtoTEx: Explaining Model Decisions with Prototype Tensors

  • Reports of personal experiences and stories in argumentation: datasets and analysis

  • Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models

  • Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings

  • Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models

  • Systematic Inequalities in Language Technology Performance across the World’s Languages

  • That Is a Suspicious Reaction!: Interpreting Logits Variation to Detect NLP Adversarial Attacks

  • The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail

  • The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments

  • The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study

  • Things not Written in Text: Exploring Spatial Commonsense from Visual Signals

  • Toward Interpretable Semantic Textual Similarity via Optimal Transportbased Contrastive Sentence Learning

  • Transformers in the loop: Polarity in neural models of language

  • Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models

  • When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues

  • Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals

  • Which side are you on? Insider-Outsider classification in conspiracy theoretic social media

  • Word Order Does Matter and Shuffled Language Models Know It

Language Model【语言模型】

模型结构

  • ABC: Attention with Bounded-memory Control

  • AdapLeR: Speeding up Inference by Adaptive Length Reduction

  • AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level

  • Better Language Model with Hypernym Class Prediction

  • CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing

  • ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification

  • ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer

  • Dependency-based Mixture Language Models

  • E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models

  • EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers

  • Exploring and Adapting Chinese GPT to Pinyin Input Method

  • Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures

  • Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT

  • FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining

  • Fully Hyperbolic Neural Networks

  • GLM: General Language Model Pretraining with Autoregressive Blank Infilling

  • infty-former: Infinite Memory Transformer

  • KinyaBERT: a Morphology-aware Kinyarwanda Language Model

  • Knowledge Neurons in Pretrained Transformers

  • LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding

  • Long-range Sequence Modeling with Predictable Sparse Attention

  • Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice

  • Making Transformers Solve Compositional Tasks

  • Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection

  • SkipBERT: Efficient Inference with Shallow Layer Skipping

  • Sparsifying Transformer Models with Trainable Representation Pooling

  • StableMoE: Stable Routing Strategy for Mixture of Experts

  • TableFormer: Robust Transformer Modeling for Table-Text Encoding

  • Transkimmer: Transformer Learns to Layer-wise Skim

训练策略

  • The Trade-offs of Domain Adaptation for Neural Language Models

  • A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation

  • Feeding What You Need by Understanding What You Learned

  • Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model

  • Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data

  • ELLE: Efficient Lifelong Pre-training for Emerging Data

  • LinkBERT: Pretraining Language Models with Document Links

  • CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations

  • Coherence boosting: When your pretrained language model is not paying enough attention

  • Feeding What You Need by Understanding What You Learned

  • LinkBERT: Pretraining Language Models with Document Links

  • MarkupLM: Pre-training of Text and Markup Language for Visually Rich Document Understanding

  • Sparse Progressive Distillation: Resolving Overfitting under Pretrain-andFinetune Paradigm

  • Token Dropping for Efficient BERT Pretraining

  • XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

模型压缩

  • Compression of Generative Pre-trained Language Models via Quantization

  • BERT Learns to Teach: Knowledge Distillation with Meta Learning

  • Multi-Granularity Structural Knowledge Distillation for Language Model Compression

  • Structured Pruning Learns Compact and Accurate Models

微调策略

  • A Closer Look at How Fine-tuning Changes BERT

  • A Good Prompt Is Worth Millions of Parameters: Low-resource Promptbased Learning for Vision-Language Models

  • Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis

  • An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels

  • Are Prompt-based Models Clueless?

  • bert2BERT: Towards Reusable Pretrained Language Models

  • CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP

  • Composable Sparse Fine-Tuning for Cross-Lingual Transfer

  • ConTinTin: Continual Learning from Task Instructions

  • Cross-Task Generalization via Natural Language Crowdsourcing Instructions

  • Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning

  • Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual Templates

  • Fantastically Ordered Prompts and Where to Find Them: Overcoming FewShot Prompt Order Sensitivity

  • Few-Shot Learning with Siamese Networks and Label Tuning

  • Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification

  • On Continual Model Refinement in Out-of-Distribution Data Streams

  • Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation

  • PPT: Pre-trained Prompt Tuning for Few-shot Learning

  • Prompt-Based Rule Discovery and Boosting for Interactive WeaklySupervised Learning

  • Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

  • Prompt-free and Efficient Few-shot Learning with Language Models

  • Prototypical Verbalizer for Prompt-based Few-shot Tuning

  • Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills

  • UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

表示学习

  • A Contrastive Framework for Learning Sentence Representations from Pairwise and Triple-wise Perspective in Angular Space

  • Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts

  • Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking

  • Contextual Representation Learning beyond Masked Language Modeling

  • Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations

  • Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for LowResource Languages

  • Cross-Modal Discrete Representation Learning

  • Debiased Contrastive Learning of Unsupervised Sentence Representations

  • Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph

  • GL-CLeF: A Global–Local Contrastive Learning Framework for Crosslingual Spoken Language Understanding

  • Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering

  • Just Rank: Rethinking Evaluation with Word and Sentence Similarities

  • Language-agnostic BERT Sentence Embedding

  • Learning Disentangled Representations of Negation and Uncertainty

  • Learning Disentangled Textual Representations via Statistical Measures of Similarity

  • Multilingual Molecular Representation Learning via Contrastive Pre-training

  • Nibbling at the Hard Core of Word Sense Disambiguation

  • Noisy Channel Language Model Prompting for Few-Shot Text Classification

  • Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting

  • Sentence-level Privacy for Document Embeddings

  • Softmax Bottleneck Makes Language Models Unable to Represent Multimode Word Distributions

  • SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer

  • Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks

  • The Grammar-Learning Trajectories of Neural Language Models

  • Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings

Machine Learning for NLP【NLP中的机器学习】

  • A Rationale-Centric Framework for Human-in-the-loop Machine Learning

  • Bias Mitigation in Machine Translation Quality Estimation

  • Disentangled Sequence to Sequence Learning for Compositional Generalization

  • DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation

  • Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification

  • Domain Knowledge Transferring for Pre-trained Language Model via Calibrated Activation Boundary Distillation

  • Learning Functional Distributional Semantics with Visual Data

  • Leveraging Relaxed Equilibrium by Lazy Transition for Sequence Modeling

  • Local Languages, Third Spaces, and other High-Resource Scenarios

  • Meta-learning via Language Model In-context Tuning

  • MPII: Multi-Level Mutual Promotion for Inference and Interpretation

  • On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency

  • Overcoming a Theoretical Limitation of Self-Attention

  • Rethinking Negative Sampling for Handling Missing Entity Annotations

  • Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling

  • Robust Lottery Tickets for Pre-trained Language Models

  • Sharpness-Aware Minimization Improves Language Model Generalization

  • Skill Induction and Planning with Latent Language

  • The Trade-offs of Domain Adaptation for Neural Language Models

  • Distributionally Robust Finetuning BERT for Covariate Drift in Spoken Language Understanding

  • Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning

Machine Translation and Multilinguality【机器翻译与多语】

翻译

  • Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction

  • Alternative Input Signals Ease Transfer in Multilingual Machine Translation

  • BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation

  • Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation

  • Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation

  • CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation

  • Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation

  • Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation

  • DEEP: DEnoising Entity Pre-training for Neural Machine Translation

  • DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation

  • Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models

  • EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multilingual Neural Machine Translation

  • Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

  • Flow-Adapter Architecture for Unsupervised Machine Translation

  • From Simultaneous to Streaming Machine Translation by Leveraging Streaming History

  • Improving Word Translation via Two-Stage Contrastive Learning

  • Integrating Vectorized Lexical Constraints for Neural Machine Translation

  • Investigating Failures of Automatic Translation in the Case of Unambiguous Gender

  • Learning Adaptive Segmentation Policy for End-to-End Simultaneous Translation

  • Learning Confidence for Transformer-based Neural Machine Translation

  • Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation

  • Learning When to Translate for Streaming Speech

  • Measuring and Mitigating Name Biases in Neural Machine Translation

  • Modeling Dual Read/Write Paths for Simultaneous Machine Translation

  • MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators

  • Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents

  • Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation

  • Neural Machine Translation with Phrase-Level Universal Visual Representations

  • On Vision Features in Multimodal Machine Translation

  • Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation

  • Prediction Difference Regularization against Perturbation for Neural Machine Translation

  • Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation

  • Reducing Position Bias in Simultaneous Machine Translation with Length Aware Framework

  • Scheduled Multi-task Learning for Neural Chat Translation

  • The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study

  • Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation

  • Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation

  • Unified Speech-Text Pre-training for Speech Translation and Recognition

  • UniTE: Unified Translation Evaluation

  • Universal Conditional Masked Language Pre-training for Neural Machine Translation

多语

  • AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages

  • Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure

  • Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification

  • Expanding Pretrained Models to Thousands More Languages via Lexiconbased Adaptation

  • Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability

  • mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models

  • Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models

  • Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction

  • Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

  • Multilingual Molecular Representation Learning via Contrastive Pre-training

  • Multilingual unsupervised sequence segmentation transfers to extremely low-resource languages

  • One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

  • Prix-LM: Pretraining for Multilingual Knowledge Base Construction

  • Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency

Question Answering【问答与理解】

阅读理解

  • AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension

  • Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension

  • Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge

  • Learning Disentangled Semantic Representations for Zero-Shot CrossLingual Transfer in Multilingual Machine Reading Comprehension

  • Lite Unified Modeling for Discriminative Reading Comprehension

  • Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension

  • What Makes Reading Comprehension Questions Difficult?

  • MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data

问答

  • Answer-level Calibration for Free-form Multiple Choice Question Answering

  • Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework

  • CQG: A Simple and Effective Controlled Generation Framework for Multihop Question Generation

  • Ditch the Gold Standard: Re-evaluating Conversational Question Answering

  • Generated Knowledge Prompting for Commonsense Reasoning

  • How Do We Answer Complex Questions: Discourse Structure of Long-form Answers

  • Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering

  • Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering

  • Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs

  • It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books

  • KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base

  • KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering

  • MMCoQA: Conversational Question Answering over Text, Tables, and Images

  • Modeling Multi-hop Question Answering as Single Sequence Prediction

  • On the Robustness of Question Rewriting Systems to Questions of Varying Hardness

  • Open Domain Question Answering with A Unified Knowledge Interface

  • Program Transfer for Answering Complex Questions over Knowledge Bases

  • Retrieval-guided Counterfactual Generation for QA

  • RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

  • Sequence-to-Sequence Knowledge Graph Completion and Question Answering

  • Simulating Bandit Learning from User Feedback for Extractive Question Answering

  • Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

  • Synthetic Question Value Estimation for Domain Adaptation of Question Answering

  • Your Answer is Incorrect… Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset

Resources and Evaluation【数据集与评估方法】

数据集

  • A Statutory Article Retrieval Dataset in French

  • CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

  • Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

  • CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

  • CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations

  • ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers

  • Cree Corpus: A Collection of nêhiyawêwin Resources

  • Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modeling

  • DialFact: A Benchmark for Fact-Checking in Dialogue

  • DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation

  • Down and Across: Introducing Crossword-Solving as a New NLP Benchmark

  • e-CARE: a New Dataset for Exploring Explainable Causal Reasoning

  • EntSUM: A Data Set for Entity-Centric Extractive Summarization

  • ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding

  • FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing

  • Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

  • Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures

  • French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English

  • From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology

  • HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation

  • IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks

  • Image Retrieval from Contextual Descriptions

  • KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base

  • LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

  • M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database

  • MSCTD: A Multimodal Sentiment Chat Translation Dataset

  • NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks

  • QuoteR: A Benchmark of Quote Recommendation for Writing

  • Reports of personal experiences and stories in argumentation: datasets and analysis

  • RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization

  • SciNLI: A Corpus for Natural Language Inference on Scientific Text

  • SummScreen: A Dataset for Abstractive Screenplay Summarization

  • SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities

  • Textomics: A Dataset for Genomics Data Summary Generation

  • The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems

  • ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

  • VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena

  • WatClaimCheck: A new Dataset for Claim Entailment and Inference

  • Your Answer is Incorrect… Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset

评估

  • Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons

  • AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages

  • BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation

  • Bias Mitigation in Machine Translation Quality Estimation

  • CARETS: A Consistency And Robustness Evaluative Test Suite for VQA

  • ChatMatch: Evaluating Chatbots by Autonomous Chat Tournaments

  • CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation

  • DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations

  • Evaluating Factuality in Text Simplification

  • FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework

  • FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation

  • Generative Pretraining for Paraphrase Evaluation

  • Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation

  • Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text

  • Just Rank: Rethinking Evaluation with Word and Sentence Similarities

  • Logic Traps in Evaluating Attribution Scores

  • Quantified Reproducibility Assessment of NLP Results

  • ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

  • RoMe: A Robust Metric for Evaluating Natural Language Generation

  • SRL4E – Semantic Role Labeling for Emotions: A Unified Evaluation Framework

  • TruthfulQA: Measuring How Models Mimic Human Falsehoods

  • Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation

  • UniTE: Unified Translation Evaluation

Sentence-level Semantics, Textual Classification, and Other Areas【句子级语义和文本关系推理】

  • Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification

  • Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis

  • Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP

  • Cluster & Tune: Boost Cold Start Performance in Text Classification

  • Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis

  • Early Stopping Based on Unlabeled Samples in Text Classification

  • Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis

  • Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction

  • Entailment Graph Learning with Textual Entailment and Soft Transitivity

  • Evaluating Extreme Hierarchical Multi-label Classification

  • FaiRR: Faithful and Robust Deductive Reasoning over Natural Language

  • Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation

  • Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification

  • KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling

  • Label Semantic Aware Pre-training for Few-shot Text Classification

  • Learn to Adapt for Generalized Zero-Shot Text Classification

  • Leveraging Task Transferability to Meta-learning for Clinical Section Classification with Limited Data

  • Measuring Fairness of Text Classifiers via Prediction Sensitivity

  • On the Robustness of Offensive Language Classifiers

  • Toward Interpretable Semantic Textual Similarity via Optimal Transportbased Contrastive Sentence Learning

  • Towards Comprehensive Patent Approval Predictions:Beyond Traditional Document Classification

Semantics and Syntax Parsing【语义与句法解析】

语义解析

  • LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing

  • Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation

  • Graph Pre-training for AMR Parsing and Generation

  • LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing

  • Learned Incremental Representations for Parsing

  • Learning to Generate Programs for Table Fact Verification via StructureAware Semantic Parsing

  • Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models

  • On The Ingredients of an Effective Zero-shot Semantic Parser

  • Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations

  • Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation

  • Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embedding

句法分析

  • Investigating Non-local Features for Neural Constituency Parsing

  • Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks

  • Compositional Generalization in Dependency Parsing

  • Dependency Parsing as MRC-based Span-Span Prediction

  • Headed-Span-Based Projective Dependency Parsing

  • Investigating Non-local Features for Neural Constituency Parsing

  • Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing

  • Phrase-aware Unsupervised Constituency Parsing

  • Probing for Labeled Dependency Trees

  • Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network

  • Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing

  • TwittIrish: A Universal Dependencies Treebank of Tweets in Modern Irish

  • Unsupervised Dependency Graph Network

命名实体识别

  • CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning

  • De-Bias for Generative Extraction in Unified NER Task

  • Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning

  • Few-Shot Class-Incremental Learning for Named Entity Recognition

  • Few-shot Named Entity Recognition with Self-describing Networks

  • Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER

  • MELM: Data Augmentation with Masked Entity Language Modeling for LowResource NER

  • MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective

  • Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing

  • Nested Named Entity Recognition with Span-level Graphs

  • Parallel Instance Query Network for Named Entity Recognition

指代消解

  • Adapting Coreference Resolution Models through Active Learning

  • Constrained Multi-Task Learning for Bridging Resolution

实体识别,对齐与消歧

  • ExtEnD: Extractive Entity Disambiguation

  • FiNER: Financial Numeric Entity Recognition for XBRL Tagging

  • Learning from Sibling Mentions with Scalable Graph Inference in FineGrained Entity Typing

  • An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism

  • Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction

其它

  • A Neural Network Architecture for Program Understanding Inspired by Human Behaviors

  • Bridging the Generalization Gap in Text-to-SQL Parsing with Schema Expansion

  • Fair and Argumentative Language Modeling for Computational Argumentation

  • LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution

  • Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages

  • Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution

Speech and Multimodality【语音与多模态】

多模态

  • Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas

  • CARETS: A Consistency And Robustness Evaluative Test Suite for VQA

  • CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment

  • Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations

  • End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding

  • Guided Attention Multimodal Multitask Financial Forecasting with InterCompany Relationships and Global and Local News

  • Image Retrieval from Contextual Descriptions

  • Letters From the Past: Modeling Historical Sound Change Through Diachronic Character Embeddings

  • Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer

  • Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension

  • Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network

  • Multimodal Dialogue Response Generation

  • Multimodal fusion via cortical network inspired losses

  • Multimodal Sarcasm Target Identification in Tweets

  • On Vision Features in Multimodal Machine Translation

  • OpenHands: Making Sign Language Recognition Accessible with Posebased Pretrained Models across Languages

  • Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data

  • Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues

  • RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining

  • There’s a Time and Place for Reasoning Beyond the Image

  • Things not Written in Text: Exploring Spatial Commonsense from Visual Signals

  • Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals

  • UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System

  • Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions

  • Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis

  • Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration

  • WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types

语音

  • Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech

  • Decoding Part-of-Speech from Human EEG Signals

  • Direct Speech-to-Speech Translation With Discrete Units

  • Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features

  • Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition

  • Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization

  • Revisiting Over-Smoothness in Text to Speech

  • Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition

  • SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

  • STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation

  • Text-Free Prosody-Aware Generative Spoken Language Modeling

  • Do self-supervised speech models develop human-like perception biases?

Summation【摘要】

  • A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization

  • A Variational Hierarchical Model for Neural Cross-Lingual Summarization

  • ASPECTNEWS: Aspect-Oriented Summarization of News Documents

  • Attention Temperature Matters in Abstractive Summarization Distillation

  • BRIO: Bringing Order to Abstractive Summarization

  • Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

  • Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization

  • Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature

  • DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization

  • Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization

  • EntSUM: A Data Set for Entity-Centric Extractive Summarization

  • Graph Enhanced Contrastive Learning for Radiology Findings Summarization

  • Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization

  • HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization

  • Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization

  • Learning the Beauty in Songs: Neural Singing Voice Beautifier

  • Length Control in Abstractive Summarization by Pretraining Information Selection

  • MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes

  • Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization

  • Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

  • Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization

  • PRIMERA: Pyramid-based Masked Sentence Pre-training for Multidocument Summarization

  • Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents

  • SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization

  • The patient is more dead than alive: exploring the current state of the multidocument summarisation of the biomedical literature

  • Towards Abstractive Grounded Summarization of Podcast Transcripts

  • Unsupervised Extractive Opinion Summarization Using Sparse Coding

  • Updated Headline Generation: Creating Updated Summaries for Evolving News Stories

Knowledge Graph【知识图谱】

  • CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion

  • Efficient Hyper-parameter Search for Knowledge Graph Embedding

  • KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base

  • Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

  • Prix-LM: Pretraining for Multilingual Knowledge Base Construction

  • RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion

  • Sequence-to-Sequence Knowledge Graph Completion and Question Answering

  • SimKGC: Simple Contrastive Knowledge Graph Completion with Pretrained Language Models

  • Understanding Gender Bias in Knowledge Base Embeddings

Special Track【特殊任务】

Code Relevant

  • Accelerating Code Search with Deep Hashing and Code Classification

  • Impact of Evaluation Methodologies on Code Summarization

  • Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization

  • Towards Learning (Dis)-Similarity of Source Code from Program Contrasts

  • UniXcoder: Unified Cross-Modal Pre-training for Code Representation

  • ReACC: A Retrieval-Augmented Code Completion Framework

  • Impact of Evaluation Methodologies on Code Summarization

Math Problem

  • Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction

  • Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network

  • NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks

Word / Sentence Segmentation

  • Weakly Supervised Word Segmentation for Computational Language Documentation

  • Word Segmentation as Unsupervised Constituency Parsing

  • That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory

  • TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference

Others

  • Automated Crossword Solving

  • CaMEL: Case Marker Extraction without Labels

  • Characterizing Idioms: Conventionality and Contingency

  • Challenges and Strategies in Cross-Cultural NLP

  • Clickbait Spoiling via Question Answering and Passage Retrieval

  • Computational Historical Linguistics and Language Diversity in South Asia

  • Doctor Recommendation in Online Health Forums via Expertise Learning

  • Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction

  • Entity-based Neural Local Coherence Modeling

  • Ethics Sheets for AI Tasks

  • HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes

  • Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations

  • Identifying Moments of Change from Longitudinal User Text

  • Identifying the Human Values behind Arguments

  • Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires

  • Incorporating Stock Market Signals for Twitter Stance Detection

  • Inferring Rewards from Language in Context

  • Large Scale Substitution-based Word Sense Induction

  • Learning From Failure: Data Capture in an Australian Aboriginal Community

  • Leveraging Similar Users for Personalized Language Modeling with Limited Data

  • Leveraging Wikipedia article evolution for promotional tone detection

  • Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines

  • Multilingual Detection of Personal Employment Status on Twitter

  • Not always about you: Prioritizing community needs when developing endangered language technology

  • Perceiving the World: Question-guided Reinforcement Learning for Text-based Games

  • Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection

  • Searching for fingerspelled content in American Sign Language

  • Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang

  • Toward Annotator Group Bias in Crowdsourcing

  • Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Go

  • Uncertainty Estimation of Transformer Predictions for Misclassification Detection

  • VALUE: Understanding Dialect Disparity in NLU

  • You might think about slightly revising the title: Identifying Hedges in Peertutoring Interactions

  • A Functionalist Account of Vowel System Typology

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