Transactions of the Association for Computational Linguistics

Papers
(The TQCC of Transactions of the Association for Computational Linguistics is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
SpanBERT: Improving Pre-training by Representing and Predicting Spans557
A Primer in BERTology: What We Know About How BERT Works370
Multilingual Denoising Pre-training for Neural Machine Translation278
Topic Modeling in Embedding Spaces258
How Can We Know What Language Models Know?229
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation166
Efficient Content-Based Sparse Attention with Routing Transformers141
What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models119
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks116
Sparse, Dense, and Attentional Representations for Text Retrieval91
SummEval: Re-evaluating Summarization Evaluation79
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages72
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation70
A Survey on Automated Fact-Checking64
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding49
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT48
ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models47
oLMpics-On What Language Model Pre-training Captures41
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages37
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs35
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond35
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers34
BLiMP: The Benchmark of Linguistic Minimal Pairs for English32
Machine Learning–Driven Language Assessment31
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations31
Gender Bias in Machine Translation30
Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension30
Measuring and Improving Consistency in Pretrained Language Models29
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation28
Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals28
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP27
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset27
Theoretical Limitations of Self-Attention in Neural Sequence Models26
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering26
Soloist: BuildingTask Bots at Scale with Transfer Learning and Machine Teaching25
Break It Down: A Question Understanding Benchmark25
Extractive Opinion Summarization in Quantized Transformer Spaces24
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering24
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models23
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them23
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?23
AMR-To-Text Generation with Graph Transformer23
The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation23
Syntax-Guided Controlled Generation of Paraphrases22
Relevance-guided Supervision for OpenQA with ColBERT22
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets22
Data-to-text Generation with Macro Planning21
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs20
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization20
MasakhaNER: Named Entity Recognition for African Languages19
Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation18
Best-First Beam Search17
Data Weighted Training Strategies for Grammatical Error Correction17
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval16
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension16
Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks16
Did Aristotle Use a Laptop?A Question Answering Benchmark with Implicit Reasoning Strategies16
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP15
Unsupervised Quality Estimation for Neural Machine Translation15
Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?15
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics15
Planning with Learned Entity Prompts for Abstractive Summarization15
Explanation-Based Human Debugging of NLP Models: A Survey15
Target-Guided Structured Attention Network for Target-Dependent Sentiment Analysis14
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition14
Acoustic-Prosodic and Lexical Cues to Deception and Trust: Deciphering How People Detect Lies14
Time-Aware Language Models as Temporal Knowledge Bases13
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains13
EDITOR: An Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints13
Multilingual Autoregressive Entity Linking13
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models12
A Survey on Cross-Lingual Summarization12
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering12
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings12
FeTaQA: Free-form Table Question Answering11
TopiOCQA: Open-domain Conversational Question Answering with Topic Switching11
ABNIRML: Analyzing the Behavior of Neural IR Models11
Sentence Similarity Based on Contexts10
QED: A Framework and Dataset for Explanations in Question Answering10
Sketch-Driven Regular Expression Generation from Natural Language and Examples10
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary10
Benchmarking Large Language Models for News Summarization10
Infusing Finetuning with Semantic Dependencies10
Aligning Faithful Interpretations with their Social Attribution10
A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing10
Task-Oriented Dialogue as Dataflow Synthesis10
Differentiable Subset Pruning of Transformer Heads10
Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand?10
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups10
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