scholarly article | Q13442814 |
P2093 | author name string | Thomas Kaltenbrunner | |
Diana Turcsany | |||
Fabrizio Ghigi | |||
Maurizio Cibelli | |||
P2860 | cites work | GloVe: Global Vectors for Word Representation | Q22827276 |
Efficient Estimation of Word Representations in Vector Space | Q24699014 | ||
A unified architecture for natural language processing: deep neural networks with multitask learning | Q29046039 | ||
P4510 | describes a project that uses | Stanford Question Answering Dataset | Q32923098 |
NewsQA | Q43281656 | ||
WikiQA | Q43281729 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | question answering | Q1074173 |
word embedding | Q18395344 | ||
P1104 | number of pages | 6 | |
P304 | page(s) | 168-173 | |
P577 | publication date | 2017-11-01 | |
P1433 | published in | Human Language Technologies as a Challenge for Computer Science and Linguistics | Q43256990 |
P1476 | title | Sentence Answer Selection for Open Domain Question Answering via Deep Word Matching |
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