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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