BriefGPT.xyz
Dec, 2019
机器翻译评估与社区问答相遇
Machine Translation Evaluation Meets Community Question Answering
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Francisco Guzmán, Lluís Màrquez, Preslav Nakov
TL;DR
本文将机器翻译评估方法应用于另一个问题：社区问答中的答案排序，采用一种结合MTE特征、丰富的句法和语义嵌入、高效建模复杂非线性交互的成对神经网络架构。评估结果表明MTE特征和成对神经网络架构都对结果有着显著的贡献，具有最先进的性能。
Abstract
We explore the applicability of
machine translation evaluation
(MTE) methods to a very different problem:
answer ranking
in
community question an
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