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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 1651–1675 of 1729 papers

TitleStatusHype
ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.—0
The impact of simple feature engineering in multilingual medical NER—0
UQAM-NTL: Named entity recognition in Twitter messages—0
Semi-supervised Named Entity Recognition in noisy-textCode0
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings—0
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media—0
Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910—0
A FOFE-based Local Detection Approach for Named Entity Recognition and Mention DetectionCode1
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data ScarcityCode0
Text Segmentation using Named Entity Recognition and Co-reference Resolution in English and Greek Texts—0
Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks—0
German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues—0
Spanish NER with Word Representations and Conditional Random Fields—0
Phrase Representations for Multiword Expressions—0
Syst\`eme hybride pour la reconnaissance des entit\'es nomm\'ees arabes \`a base des CRF (Hybrid arabic NER system using CRF Model)—0
Une p\'enalit\'e floue fond\'ee phonologiquement pour am\'eliorer la S\'election d'Unit\'e (A Phonologically Motivated Penalty To Improve Unit Selection)—0
Fouille de motifs et CRF pour la reconnaissance de sympt\^omes dans les textes biom\'edicaux (Pattern mining and CRF for symptoms recognition in biomedical texts)—0
Suivi de contours d'articulateurs orofaciaux \`a partir d'IRM dynamique (Orofacial articulators tracking from dynamic MRI)—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Boosting Question Answering by Deep Entity Recognition—0
Generating Task-Pertinent sorted Error Lists for Speech Recognition—0
Using Word Embeddings to Translate Named Entities—0
WTF-LOD - A New Resource for Large-Scale NER Evaluation—0
Incorporating Lexico-semantic Heuristics into Coreference Resolution Sieves for Named Entity Recognition at Document-level—0
Multi-prototype Chinese Character Embedding—0
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