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ACL
2015

MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity

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MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity
We present MultiGranCNN, a general deep learning architecture for matching text chunks. MultiGranCNN supports multigranular comparability of representations: shorter sequences in one chunk can be directly compared to longer sequences in the other chunk. MultiGranCNN also contains a flexible and modularized match feature component that is easily adaptable to different types of chunk matching. We demonstrate stateof-the-art performance of MultiGranCNN on clause coherence and paraphrase identification tasks.
Wenpeng Yin, Hinrich Schütze
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where ACL
Authors Wenpeng Yin, Hinrich Schütze
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