Machine Translation Evaluation Meets Community Question Answering
Machine Translation Evaluation Meets Community Question Answering
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
We explore the applicability of machine translation evaluation (MTE) methods to a very different problem: answer ranking in community Question Answering. In particular, we adopt a pairwise neural network (NN) architecture, which incorporates MTE features, as well as rich syntactic and semantic embeddings, and which efficiently models complex non-li...
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Machine Translation Evaluation Meets Community Question Answering
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TN_cdi_proquest_journals_2323073232
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2323073232
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E-ISSN
2331-8422
