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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 511–520 of 1729 papers

TitleStatusHype
Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade DirectoriesCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and ResolutionCode0
Enhancing deep neural networks with morphological informationCode0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal ResourcesCode0
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity RecognitionCode0
Enhancing Deep Learning with Embedded Features for Arabic Named Entity RecognitionCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
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