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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 1411–1420 of 1729 papers

TitleStatusHype
A Boundary-aware Neural Model for Nested Named Entity RecognitionCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African LanguagesCode0
myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS TaggingCode0
Synthetic4Health: Generating Annotated Synthetic Clinical LettersCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
Evaluating Contextualized Language Models for HungarianCode0
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream taskCode0
GERNERMED++: Transfer Learning in German Medical NLPCode0
RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to SpansCode0
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