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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 476–500 of 1729 papers

TitleStatusHype
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection—0
Attack Named Entity Recognition by Entity Boundary Interference—0
NER-to-MRC: Named-Entity Recognition Completely Solving as Machine Reading Comprehension—0
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition—0
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER using XLM-RoBERTa—0
CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling approaches for NERCode0
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna—0
The Role of Global and Local Context in Named Entity RecognitionCode0
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER—0
Causal Interventions-based Few-Shot Named Entity Recognition—0
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database—0
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction—0
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
FindVehicle and VehicleFinder: A NER dataset for natural language-based vehicle retrieval and a keyword-based cross-modal vehicle retrieval systemCode1
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge BasesCode0
GPT-NER: Named Entity Recognition via Large Language ModelsCode2
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
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical TextCode1
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
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