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Neural Network Alignment for Sentential Paraphrases

机译:句子释义的神经网络对齐

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We present a monolingual alignment system for long, sentence- or clause-level alignments, and demonstrate that systems designed for word- or short phrase-based alignment are ill-suited for these longer alignments. Our system is capable of aligning semantically similar spans of arbitrary length. We achieve significantly higher recall on aligning phrases of four or more words and outperform state-of-the-art aligners on the long alignments in the MSR RTE corpus.
机译:我们提出了用于长,句子或子句级对齐的单语言对齐系统,并证明了针对基于单词或短短语的对齐方式而设计的系统不适用于这些较长的对齐方式。我们的系统能够对齐任意长度的语义相似的跨度。在对齐四个或更多单词的短语时,我们获得了更高的召回率,并且在MSR RTE语料库中的长对齐方面表现出比最新的对齐器更高的性能。

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