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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 1101–1125 of 1729 papers

TitleStatusHype
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism—0
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated LearningCode0
Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer NetworksCode0
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network—0
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
Fine-grained Named Entity Annotation for Finnish—0
Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency—0
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets—0
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning—0
Optimizing small BERTs trained for German NERCode0
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models CrispCode0
Regularization for Long Named Entity RecognitionCode0
Zero-Resource Multi-Dialectal Arabic Natural Language Understanding—0
Effect of depth order on iterative nested named entity recognition models—0
Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages—0
Using a Frustratingly Easy Domain and Tagset Adaptation for Creating Slavic Named Entity Recognition SystemsCode0
Multilingual Named Entity Recognition and Matching Using BERT and Dedupe for Slavic Languages—0
Multilingual Slavic Named Entity Recognition—0
Identifying Named Entities as they are Typed—0
FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous EntitiesCode0
Subword Pooling Makes a DifferenceCode0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts—0
Priberam Labs at the 3rd Shared Task on SlavNER—0
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