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Natural Language Processing

46,586 papers (52 classified directly here)

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Papers (including subtopics)

FANS: Fusing ASR and NLU for On-Device SLU Interspeech 2021 FantasyCoref: Coreference Resolution on Fantasy Literature Through Omniscient Writer’s Point of View EMNLP 2021 Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback CVPR 2021 Fast and Accurate Neural Machine Translation with Translation Memory ACL 2021 Fast and Effective Biomedical Entity Linking Using a Dual Encoder EACL 2021 FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition EMNLP 2021 Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders EMNLP 2021 Faster Depth-Adaptive Transformers AAAI 2021 FAST: Fast Annotation tool for SmarT devices EMNLP 2021 fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP ACL 2021 Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification NeurIPS 2021 FastSeq: Make Sequence Generation Faster ACL 2021 Fast Video Moment Retrieval ICCV 2021 Fast WordPiece Tokenization EMNLP 2021 fBERT: A Neural Transformer for Identifying Offensive Content EMNLP 2021 FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning EMNLP 2021 Feature-level Incongruence Reduction for Multimodal Translation NAACL 2021 Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding EMNLP 2021 FEEL-IT: Emotion and Sentiment Classification for the Italian Language EACL 2021 Few-NERD: A Few-shot Named Entity Recognition Dataset ACL 2021 Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector EMNLP 2021 Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks EMNLP 2021 Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label EMNLP 2021 Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning EMNLP 2021 Few-shot Learning for Multi-label Intent Detection AAAI 2021