Transactions of the Association for Computational Linguistics

Papers
(The H4-Index of Transactions of the Association for Computational Linguistics is 25. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
The Ethics of Automating Legal Actors189
Cross-functional Analysis of Generalization in Behavioral Learning164
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models111
Segmentation-Free Streaming Machine Translation90
Transformers for Tabular Data Representation: A Survey of Models and Applications86
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection81
State of What Art? A Call for Multi-Prompt LLM Evaluation77
A Survey of Text Games for Reinforcement Learning Informed by Natural Language69
Erasure of Unaligned Attributes from Neural Representations67
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval63
Revisiting Meta-evaluation for Grammatical Error Correction62
T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates54
The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation45
A Survey on Automated Fact-Checking40
Benchmarking the Generation of Fact Checking Explanations39
Time-Aware Language Models as Temporal Knowledge Bases39
Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression35
DEAR: Disentangled Event-Agnostic Representation Learning for Early Fake News Detection34
Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing32
Learning English with Peppa Pig31
Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval31
Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations28
Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing28
Do Multi-Document Summarization Models Synthesize?27
How to Dissect a Muppet: The Structure of Transformer Embedding Spaces25
Context-Aware Machine Translation with Source Coreference Explanation25
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