Sentence Answer Selection for Open Domain Question Answering via Deep Word Matching

scientific article published in November 2017

Sentence Answer Selection for Open Domain Question Answering via Deep Word Matching is …
instance of (P31):
scholarly articleQ13442814

P2093author name stringThomas Kaltenbrunner
Diana Turcsany
Fabrizio Ghigi
Maurizio Cibelli
P2860cites workGloVe: Global Vectors for Word RepresentationQ22827276
Efficient Estimation of Word Representations in Vector SpaceQ24699014
A unified architecture for natural language processing: deep neural networks with multitask learningQ29046039
P4510describes a project that usesStanford Question Answering DatasetQ32923098
NewsQAQ43281656
WikiQAQ43281729
P407language of work or nameEnglishQ1860
P921main subjectquestion answeringQ1074173
word embeddingQ18395344
P1104number of pages6
P304page(s)168-173
P577publication date2017-11-01
P1433published inHuman Language Technologies as a Challenge for Computer Science and LinguisticsQ43256990
P1476titleSentence Answer Selection for Open Domain Question Answering via Deep Word Matching

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