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Line 26: Part-of-speech tagging Dependency Parsing<ref>{{Cite journal\|last1=Kiperwasser\|first1=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\|arxiv=1603.04351\|bibcode=2016arXiv160304351K\|s2cid=1642392}}</ref> *Entity Extraction<ref>{{Cite ~~arxiv~~arXiv\|last1=Dernoncourt\|first1=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> ==References==

Bidirectional recurrent neural networks: Difference between revisions