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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 1121–1130 of 1729 papers

TitleStatusHype
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
An Adaptive Framework for Named Entity Combination—0
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques—0
A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media—0
A Named Entity Recognition Shootout for German—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
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature—0
An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature—0
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