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    题名: Attachment of english prepositional phrases and suggestions of english prepositions
    作者: Tsai, Chia-Chi;Liu, Chaolin
    劉昭麟
    贡献者: 資科系
    关键词: Classification models;Computational procedures;Machine translations;Prepositional phrase;Semantic analysis;Semantic features;Semantic information;Text proofreading;Abstracting;Computational linguistics;Semantics;Speech processing;Problem solving
    日期: 2012
    上传时间: 2015-04-10 15:35:07 (UTC+8)
    摘要: This paper focuses on problems of attachment of prepositional phrases (PPs) and problems of prepositional suggestions. We transform the problems of PPs attachment and prepositional suggestions into an abstract model, and apply the same computational procedures to solve these two problems. The common model features four headwords, i.e., the verb, the first noun, the preposition, and the second noun in the prepositional phrases. Our methods consider the semantic features of the headwords in WordNet to train classification models, and apply the learned models for tackling the attachment and suggestion problems. This exploration of PP attachment problems is special in that only those PPs that are almost equally possible to attach to the verb and the first noun were used in the study. The proposed models consider only four headwords to achieve satisfactory performances. This study reconfirms that semantic information is instrument for both PP attachment and prepositional suggestions.
    關聯: Proceedings of the 24th Conference on Computational Linguistics and Speech Processing, ROCLING 2012，32-46
    数据类型: conference
    显示于类别:[資訊科學系] 會議論文

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