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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 1421–1430 of 1729 papers

TitleStatusHype
GGPONC 2.0 - The German Clinical Guideline Corpus for Oncology: Curation Workflow, Annotation Policy, Baseline NER TaggersCode0
Give your Text Representation Models some Love: the Case for BasqueCode0
Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade DirectoriesCode0
An Encoding Strategy Based Word-Character LSTM for Chinese NERCode0
Entity Recognition at First Sight: Improving NER with Eye Movement InformationCode0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
Context encoders as a simple but powerful extension of word2vecCode0
Re-Examine Distantly Supervised NER: A New Benchmark and a Simple ApproachCode0
Constrained Decoding for Computationally Efficient Named Entity Recognition TaggersCode0
Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-caseCode0
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