Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition.

scientific article published on 13 November 2017

Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition. is …
instance of (P31):
scholarly articleQ13442814

External links are
P818arXiv ID1706.09569
P8978DBLP publication IDjournals/jbi/UnanueBP17
P356DOI10.1016/J.JBI.2017.11.007
P698PubMed publication ID29146561

P2093author name stringEhsan Zare Borzeshi
Iñigo Jauregi Unanue
Massimo Piccardi
P2860cites workMIMIC-III, a freely accessible critical care databaseQ28871995
P921main subjectword embeddingQ18395344
named-entity recognitionQ403574
recurrent neural networkQ1457734
P304page(s)102-109
P577publication date2017-11-13
P1433published inJournal of Biomedical InformaticsQ6294850
P1476titleRecurrent neural networks with specialized word embeddings for health-domain named-entity recognition.
P478volume76

Reverse relations

cites work (P2860)
Q64936628A Domain Knowledge-Enhanced LSTM-CRF Model for Disease Named Entity Recognition.
Q91989484Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition
Q89949703Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text
Q110950343Comparing general and specialized word embeddings for biomedical named entity recognition
Q64240241Detecting Adverse Drug Events with Rapidly Trained Classification Models
Q91894817Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition

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