Bidirectional recurrent neural networks: Difference between revisions

Revision as of 16:52, 7 July 2019

Revision as of 06:53, 9 October 2019

Line 25:

*Protein Structure Prediction<ref>Baldi, Pierre, et al. "[https://academic.oup.com/bioinformatics/article-pdf/15/11/937/693153/150937.pdf Exploiting the past and the future in protein secondary structure prediction]." Bioinformatics 15.11 (1999): 937-946.</ref><ref>Pollastri, Gianluca, and Aoife Mclysaght. "[https://academic.oup.com/bioinformatics/article/21/8/1719/250163 Porter: a new, accurate server for protein secondary structure prediction]." Bioinformatics 21.8 (2005): 1719-1720.</ref>

*Part-of-speech tagging

*Dependency Parsing<ref>{{Cite journal|last=Kiperwasser|first=Eliyahu|last2=Goldberg|first2=Yoav|date=2016|title=Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations|url=https://www.aclweb.org/anthology/Q16-1023/|journal=Transactions of the Association for Computational Linguistics|language=en-us|volume=4|pages=313–327|doi=10.1162/tacl_a_00101}}</ref>

*Dependency Parsing<ref>Grella and Cangialosi "[https://arxiv.org/pdf/1802.02116 Non-Projective Dependency Parsing via Latent Heads Representation]" (2018).</ref>

*Entity Extraction<ref>{{Cite arxiv|last=Dernoncourt|first=Franck|last2=Lee|first2=Ji Young|last3=Szolovits|first3=Peter|date=2017-05-15|title=NeuroNER: an easy-to-use program for named-entity recognition based on neural networks|eprint=1705.05487|class=cs.CL}}</ref>