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Natural Language Processing

46,586 papers (52 classified directly here)

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Papers (including subtopics)

When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications ACL 2023 When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs) ACL 2023 When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle EMNLP 2023 Where’s the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation ACL 2023 Where to start? Analyzing the potential value of intermediate models EMNLP 2023 Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree ACL 2023 Which is better? Exploring Prompting Strategy For LLM-based Metrics AACL 2023 Which One Are You Referring To? Multimodal Object Identification in Situated Dialogue EACL 2023 Which Shortcut Solution Do Question Answering Models Prefer to Learn? AAAI 2023 WhiSLU: End-to-End Spoken Language Understanding with Whisper Interspeech 2023 White-Box Multi-Objective Adversarial Attack on Dialogue Generation ACL 2023 WhitenedCSE: Whitening-based Contrastive Learning of Sentence Embeddings ACL 2023 Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification EMNLP 2023 “Who is the Madonna of Italian-American Literature?”: Target Entity Extraction and Analysis of Vossian Antonomasia EACL 2023 Who needs context? Classical techniques for Alzheimer’s disease detection ACL 2023 Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification EMNLP 2023 Why Aren’t We NER Yet? Artifacts of ASR Errors in Named Entity Recognition in Spontaneous Speech Transcripts ACL 2023 Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers ACL 2023 Why Can’t Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity EACL 2023 Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA ACL 2023 “Why do I feel offended?” - Korean Dataset for Offensive Language Identification EACL 2023 Why do Nearest Neighbor Language Models Work? ICML 2023 Why Don’t You Do It Right? Analysing Annotators’ Disagreement in Subjective Tasks EACL 2023 Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation EMNLP 2023 Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions EMNLP 2023