January 1, 2016Open Access

Neural Architectures for Named Entity Recognition

Key Points

Key points are not available for this paper at this time.

Abstract

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016.

KI fragen

Bookmark

View Full Paper

Cite This Study

Lample et al. (Fri,) studied this question.

synapsesocial.com/papers/69d95e8dc7f0c3ae80a3d299 https://doi.org/https://doi.org/10.18653/v1/n16-1030

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Efficient Estimation of Word Representations in Vector Space2013 · 18,150 citations
2Language Independent NER using a Unified Model of Internal and Contextual Evidence2002 · 9 citations
3Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation2010 · 185 citations
4Incrementality in deterministic dependency parsing2004 · 278 citations
5Joint Named Entity Recognition and Disambiguation2015 · 69 citations

KI fragen

Bookmark

View Full Paper