Textual entailment graphs
نویسندگان
چکیده
We introduce a novel type of graphs for NLP – Textual Entailment Graphs (TEG). We present the first gold-standard dataset of TEGs, describe a methodology we developed for their construction and evaluate state-of-the-art RTE engines for this task. We show the utility of TEGs for text exploration and suggest that TEGs might have different usages and that their automatic creation is an interesting task for the community.
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ورودعنوان ژورنال:
- Natural Language Engineering
دوره 21 شماره
صفحات -
تاریخ انتشار 2015