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A random walk approach to selectional preferences based on preference ranking and propagation

  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

This paper presents an unsupervised random walk approach to alleviate data sparsity for selectional preferences. Based on the measure of preferences between predicates and arguments, the model aggregates all the transitions from a given predicate to its nearby predicates, and propagates their argument preferences as the given predicate's smoothed preferences. Experimental results show that this approach outperforms several state-of-the-art methods on the pseudo-disambiguation task, and it better correlates with human plausibility judgements.

源语言英语
主期刊名Long Papers
出版商Association for Computational Linguistics (ACL)
1169-1179
页数11
ISBN(印刷版)9781937284503
出版状态已出版 - 2013
活动51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, 保加利亚
期限: 4 8月 20139 8月 2013

出版系列

姓名ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
1

会议

会议51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
国家/地区保加利亚
Sofia
时期4/08/139/08/13

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