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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 1251–1300 of 1729 papers

TitleStatusHype
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism—0
Bootstrapping a Romanian Corpus for Medical Named Entity Recognition—0
Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning—0
Boundary Smoothing for Named Entity Recognition—0
Bridging the Gap: Transfer Learning from English PLMs to Malaysian English—0
BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer—0
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic—0
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources—0
Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
Building Low-Resource NER Models Using Non-Speaker Annotation—0
Building Low-Resource NER Models Using Non-Speaker Annotations—0
Building OCR/NER Test Collections—0
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data—0
CalibreNet: Calibration Networks for Multilingual Sequence Labeling—0
Can BERT Dig It? -- Named Entity Recognition for Information Retrieval in the Archaeology Domain—0
CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records—0
CAp 2017 challenge: Twitter Named Entity Recognition—0
Caract\'erisation des plosives finales dans des langues d'Asie : une \'etude multilingue du non rel\^achement (Characterization of Stop Consonants in Asian Languages: A two-language Study of Unreleased)—0
Cascaded Models for Better Fine-Grained Named Entity Recognition—0
Causal Interventions-based Few-Shot Named Entity Recognition—0
CDJUR-BR -- A Golden Collection of Legal Document from Brazilian Justice with Fine-Grained Named Entities—0
Challenges in clinical natural language processing for automated disorder normalization—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition—0
Character-Level Feature Extraction with Densely Connected Networks—0
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network—0
Cheap Translation for Cross-Lingual Named Entity Recognition—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism—0
Chinese Word Attention based on Valid Division of Sentence—0
C-ICL: Contrastive In-context Learning for Information Extraction—0
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics—0
Classification Attention for Chinese NER—0
Classification of Contract-Amendment Relationships—0
Clause Attention based on Signal Words Division—0
CLEANANERCorp: Identifying and Correcting Incorrect Labels in the ANERcorp Dataset—0
CLGP: Multi-Feature Embedding based Cross-Attention for Chinese NER—0
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction—0
Clinical Trial Information Extraction with BERT—0
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition—0
Cloze-driven Pretraining of Self-attention Networks—0
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts—0
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data—0
Combining Minimally-supervised Methods for Arabic Named Entity Recognition—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER—0
Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies—0
Comparative Analysis of Extrinsic Factors for NER in French—0
Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain—0
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