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    ACL 2021 主会571篇长文分类汇总(上)

    顶会期刊
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      151****8705 last edited by 151****8705

      对抗攻击和鲁棒性

      Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble
      A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks
      Crafting Adversarial Examples for Neural Machine Translation
      Adversarial Learning for Discourse Rhetorical Structure Parsing
      Reliability Testing for Natural Language Processing Systems
      Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
      Towards Robustness of Text-to-SQL Models against Synonym Substitution
      Robustness Testing of Language Understanding in Task-Oriented Dialog
      Rethinking Stealthiness of Backdoor Attack against NLP Models
      Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution
      Improving Paraphrase Detection with the Adversarial Paraphrasing Task
      MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
      On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
      Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
      WARP: Word-level Adversarial ReProgramming

      道德与自然语言处理

      Ruddit: Norms of Offensiveness for English Reddit Comments
      Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data
      A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
      Structurizing Misinformation Stories via Rationalizing Fact-Checks
      Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
      Can Sequence-to-Sequence Models Crack Substitution Ciphers?
      Societal Biases in Language Generation: Progress and Challenges
      Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection
      Bad Seeds: Evaluating Lexical Methods for Bias Measurement
      Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
      A Survey of Race, Racism, and Anti-Racism in NLP
      Examining the Inductive Bias of Neural Language Models with Artificial Languages
      Changing the World by Changing the Data
      Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
      Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?
      StereoSet: Measuring stereotypical bias in pretrained language models
      Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies
      Intrinsic Bias Metrics Do Not Correlate with Application Bias
      Annotating Online Misogyny

      对话系统

      TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
      HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations
      Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?
      Maria: A Visual Experience Powered Conversational Agent
      Discovering Dialog Structure Graph for Coherent Dialog Generation
      Dialogue Response Selection with Hierarchical Curriculum Learning
      Diversifying Dialog Generation via Adaptive Label Smoothing
      BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
      Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems
      I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling
      A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
      A Sequence-to-Sequence Approach to Dialogue State Tracking
      Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders
      Intent Classification and Slot Filling for Privacy Policies
      Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking
      Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training
      Modeling Bilingual Conversational Characteristics for Neural Chat Translation
      Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
      RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
      Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
      Learning to Ask Conversational Questions by Optimizing Levenshtein Distance
      MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding
      Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
      Towards Emotional Support Dialog Systems
      Discovering Dialogue Slots with Weak Supervision
      Structural Pre-training for Dialogue Comprehension
      NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
      Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer
      RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
      Transferable Dialogue Systems and User Simulators
      A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations
      Improving Dialog Systems for Negotiation with Personality Modeling
      OTTers: One-turn Topic Transitions for Open-Domain Dialogue
      Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
      The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity
      GTM: A Generative Triple-wise Model for Conversational Question Generation
      Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions

      语言模型

      Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains
      Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
      EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering
      StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
      Implicit Representations of Meaning in Neural Language Models
      BinaryBERT: Pushing the Limit of BERT Quantization
      A Cognitive Regularizer for Language Modeling
      Shortformer: Better Language Modeling using Shorter Inputs
      Making Pre-trained Language Models Better Few-shot Learners
      ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
      ERNIE-Doc: A Retrospective Long-Document Modeling Transformer
      Probing Toxic Content in Large Pre-Trained Language Models
      Positional Artefacts Propagate Through Masked Language Model Embeddings
      Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
      When Do You Need Billions of Words of Pretraining Data?
      Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
      SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
      Structural Guidance for Transformer Language Models
      Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
      Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model
      Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?
      On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
      RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
      Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation
      What Context Features Can Transformer Language Models Use?
      LexFit: Lexical Fine-Tuning of Pretrained Language Models
      Selecting Informative Contexts Improves Language Model Fine-tuning
      BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
      Examining the Inductive Bias of Neural Language Models with Artificial Languages
      Changing the World by Changing the Data
      A Targeted Assessment of Incremental Processing in Neural Language Models and Humans
      Language Model Augmented Relevance Score
      StructuralLM: Structural Pre-training for Form Understanding
      BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks
      Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
      Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators

      词法

      Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation
      Word Sense Disambiguation: Towards Interactive Context Exploitation from Both Word and Sense Perspectives
      ADEPT: An Adjective-Dependent Plausibility Task
      RAW-C: Relatedness of Ambiguous Words in Context (A New Lexical Resource for English)
      Lexical Semantic Change Discovery
      Bad Seeds: Evaluating Lexical Methods for Bias Measurement
      Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
      Neural Bi-Lexicalized PCFG Induction

      语言理论、认知建模和心理语言学

      Unified Dual-view Cognitive Model for Interpretable Claim Verification
      Psycholinguistic Tripartite Graph Network for Personality Detection
      Supporting Cognitive and Emotional Empathic Writing of Students
      CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals
      Detecting Propaganda Techniques in Memes
      Lower Perplexity is Not Always Human-Like
      Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
      Meta-Learning to Compositionally Generalize
      A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies

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