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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

Showing 126150 of 1729 papers

TitleStatusHype
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic PerspectiveCode1
CyNER: A Python Library for Cybersecurity Named Entity RecognitionCode1
kNN-NER: Named Entity Recognition with Nearest Neighbor SearchCode1
Computer Science Named Entity Recognition in the Open Research Knowledge GraphCode1
Parallel Instance Query Network for Named Entity RecognitionCode1
Nested Named Entity Recognition as Latent Lexicalized Constituency ParsingCode1
USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity RecognitionCode1
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled LearningCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisCode1
HuSpaCy: an industrial-strength Hungarian natural language processing toolkitCode1
KIND: an Italian Multi-Domain Dataset for Named Entity RecognitionCode1
Unified Named Entity Recognition as Word-Word Relation ClassificationCode1
Learning Rich Representation of Keyphrases from TextCode1
Named entity recognition architecture combining contextual and global featuresCode1
Open-CyKG: An Open Cyber Threat Intelligence Knowledge GraphCode1
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Zero-Shot Learning in Named-Entity Recognition with External KnowledgeCode1
Focusing on Potential Named Entities During Active Label AcquisitionCode1
Named Entity Recognition for Entity Linking: What Works and What’s NextCode1
WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NERCode1
Enhanced Language Representation with Label Knowledge for Span ExtractionCode1
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity RecognitionCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
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