ACL 2022 主会长文论文分类整理

导读

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。官方发布的接收论文列表：

Accepted Papers 

(https://www.2022.aclweb.org/papers)

• 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【句子级语义和文本关系推理】

  • 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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原文链接：ACL 2022 主会长文论文分类整理