SOTAVerified

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 111120 of 1729 papers

TitleStatusHype
ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models0
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and ResolutionCode0
WikiNER-fr-gold: A Gold-Standard NER Corpus0
SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval0
uOttawa at LegalLens-2024: Transformer-based Classification ExperimentsCode0
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information RetrievalCode0
Towards Hybrid Intelligence in Journalism: Findings and Lessons Learnt from a Collaborative Analysis of Greek Political Rhetoric by ChatGPT and Humans0
Computational Approaches to Arabic-English Code-Switching0
Comparative Analysis of Extrinsic Factors for NER in French0
Skill-LLM: Repurposing General-Purpose LLMs for Skill ExtractionCode0
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