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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 691–700 of 1729 papers

TitleStatusHype
Technical Report: Impact of Position Bias on Language Models in Token ClassificationCode0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis—0
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge BasesCode0
Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese—0
Classification of US Supreme Court Cases using BERT-Based TechniquesCode0
Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages—0
An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking—0
RISC: Generating Realistic Synthetic Bilingual Insurance ContractCode0
MphayaNER: Named Entity Recognition for TshivendaCode0
WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity RecognitionCode0
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