Optimising tree edit distance with subtrees for textual entailment

Maytham Alabbas, Allan Ramsay

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    This paper introduces a method for improving tree edit distance (TED) for textual entailment. We explore two ways of improving TED: we extend the standard TED to use edit operations that apply to subtrees as well as to single nodes; and we use the 'artificial bee colony' algorithm (ABC) to estimate the cost of edit operations for single nodes and subtrees and to determine thresholds. The preliminary results of the current work for checking entailment between two texts are encouraging compared with the common bag-of-words, string edit distance and standard TED algorithms.
    Original languageEnglish
    Title of host publicationInternational Conference Recent Advances in Natural Language Processing, RANLP|Int. Conf. Recent Adv. Nat. Lang. Proces., RANLP
    Pages9-17
    Number of pages8
    Publication statusPublished - 2013
    Event9th International Conference on Recent Advances in Natural Language Processing, RANLP 2013 - Hissar
    Duration: 1 Jul 2013 → …

    Conference

    Conference9th International Conference on Recent Advances in Natural Language Processing, RANLP 2013
    CityHissar
    Period1/07/13 → …

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