A neural network for factoid question answering over paragraphs. Iyyer, M, Boyd-Graber, J, & Claudino, L Proceedings of the …, 2014.
abstract   bibtex   
Abstract Text classification methods for tasks like factoid question answering typically use manually defined string matching rules or bag of words representations. These methods are ineffective when question text contains very few individual words (eg, named entities) that.
@Article{Iyyer2014,
author = {Iyyer, M and Boyd-Graber, J and Claudino, L}, 
title = {A neural network for factoid question answering over paragraphs}, 
journal = {Proceedings of the …}, 
volume = {}, 
number = {}, 
pages = {}, 
year = {2014}, 
abstract = {Abstract Text classification methods for tasks like factoid question answering typically use manually defined string matching rules or bag of words representations. These methods are ineffective when question text contains very few individual words (eg, named entities) that.}, 
location = {}, 
keywords = {}}

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