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Natural Language Processing
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Natural Language Understanding
678 directly classified papers
Papers per year
2006: 1
2007: 1
2008: 1
2009: 1
2011: 1
2016: 2
2017: 30
2018: 38
2019: 52
2020: 76
2021: 69
2022: 103
2023: 118
2024: 91
2025: 94
Papers
Learning Semantic Structure through First-Order-Logic Translation
EMNLP 2024
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies
EMNLP 2024
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination
EMNLP 2024
Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation
EMNLP 2024
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
EMNLP 2024
Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation
EMNLP 2024
Paraphrasing in Affirmative Terms Improves Negation Understanding
ACL 2024
Naming, Describing, and Quantifying Visual Objects in Humans and LLMs
ACL 2024
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs
EMNLP 2024
AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
EMNLP 2024
XNLP: An Interactive Demonstration System for Universal Structured NLP
ACL 2024
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures
ACL 2024
BatchEval: Towards Human-like Text Evaluation
ACL 2024
Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing
ACL 2024
NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
ACL 2024
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
ACL 2024
Simpson’s Paradox and the Accuracy-Fluency Tradeoff in Translation
ACL 2024
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
ACL 2024
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
EMNLP 2024
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons
EMNLP 2024
Academics Can Contribute to Domain-Specialized Language Models
EMNLP 2024
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models
EMNLP 2024
Using Language Models to Disambiguate Lexical Choices in Translation
EMNLP 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
EMNLP 2024
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
EMNLP 2024
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