Improving LSTM CRFs Using Character-based Compositions for Korean Named Entity Recognition

Na, Seung-Hoon; Kim, Hyun O.; Min, Jinwoo; Kim, Kangil

doi:10.1016/j.csl.2018.09.005

Record: found
Abstract: not found
Article: not found

Improving LSTM CRFs Using Character-based Compositions for Korean Named Entity Recognition

Author(s): Seung-Hoon Na , Hyun Kim , Jinwoo Min , Kangil Kim

Publication date Created: September 2018

Publication date (Print): September 2018

Journal: Computer Speech & Language

Publisher: Elsevier BV

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Author and article information

Journal

Title: Computer Speech & Language

Abbreviated Title: Computer Speech & Language

Publisher: Elsevier BV

ISSN (Print): 08852308

Publication date Created: September 2018

Publication date (Print): September 2018

Article

DOI: 10.1016/j.csl.2018.09.005

SO-VID: 776c2a37-720a-4409-9340-647ddd79dc60

License:

https://www.elsevier.com/tdm/userlicense/1.0/

History

Data availability:

Improving LSTM CRFs Using Character-based Compositions for Korean Named Entity Recognition

Read this article at

Related collections

Genome Engineering using CRISPR

Author and article information

Journal

Article

History

Comments

Comment on this article

Similar content 3,475

Cited by 4