Ontology-based prediction of compound relations — A study based on SUMO

Jia Fei Hong, Xiang Bing Li, Chu Ren Huang

研究成果: 會議貢獻類型會議論文同行評審

5 引文 斯高帕斯(Scopus)

摘要

This paper explores the interaction between conceptual structure and morpho-syntax. In particular, we show that ontology-based conceptual classification can be used to predict internal relations in compounds. We propose an ontology-based approach to predict the semantic relation between the two component words in Mandarin VV compounds. A Mandarin VV compound is classified according to the eventive relation between the two simplex verbs. These relations specify how the eventive meanings of the two simplex verbs combine to form the meaning of the compound. The three types of eventive relations that we deal with in this paper are: coordinate, modificational, and resultative. Since the way in which two events combine with each other depends upon their event types, we hypothesize that the eventive relations can be predicted by the conceptual classified event types of the two simplex verbs. An approach of ontology-based prediction is proposed based on this hypothesis. The assignment of ontology classification for each simplex verb is based on SUMO and Sinica BOW. The correlation between the ontology class of each verb position and each eventive type is trained and scored based on a manually tagged lexical database. We encode the ontology information of each VV compound in a 3-tuple based on these correlation scores. This 3-tuple is represented as a three-dimensional vector and used to predict the eventive type of new VV compounds. Our classification experiment on unknown VV compounds yields good recall and precision.

原文英語
頁面151-160
頁數10
出版狀態已發佈 - 2004
對外發佈
事件18th Pacific Asia Conference on Language, Information and Computation, PACLIC 2004 - Tokyo, 日本
持續時間: 2004 12月 82004 12月 10

會議

會議18th Pacific Asia Conference on Language, Information and Computation, PACLIC 2004
國家/地區日本
城市Tokyo
期間2004/12/082004/12/10

ASJC Scopus subject areas

  • 電腦科學(雜項)
  • 資訊系統

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