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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

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Showing 111–120 of 1729 papers

TitleStatusHype
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisCode1
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLPCode1
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical TextsCode1
Few-Shot Named Entity Recognition: A Comprehensive StudyCode1
Filtered Semi-Markov CRFCode1
FindVehicle and VehicleFinder: A NER dataset for natural language-based vehicle retrieval and a keyword-based cross-modal vehicle retrieval systemCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
An Effective System for Multi-format Information ExtractionCode1
A Unified Generative Framework for Various NER SubtasksCode1
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesCode1
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