ACL 2021 主会571篇长文分类汇总（上）
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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