NUIG-UNLP at SemEval-2016 task 1: Soft alignment and deep learning for semantic textual similarity

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    Abstract

    We present a multi-feature system for computing the semantic similarity between two sentences. We introduce the use of soft alignment for computing text similarity, and also evaluate different methods to produce it. The main features used by our system are based on alignment and Explicit Semantic Analysis. Our system was above the median scores for 4 out of the 5 datasets at SemEval 2016 STS Task 1.

    Original languageEnglish
    Title of host publicationSemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
    PublisherAssociation for Computational Linguistics (ACL)
    Pages712-717
    Number of pages6
    ISBN (Electronic)9781941643952
    DOIs
    Publication statusPublished - 2016
    Event10th International Workshop on Semantic Evaluation, SemEval 2016 - San Diego, United States
    Duration: 16 Jun 201617 Jun 2016

    Publication series

    NameSemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

    Conference

    Conference10th International Workshop on Semantic Evaluation, SemEval 2016
    Country/TerritoryUnited States
    CitySan Diego
    Period16/06/1617/06/16

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