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Semi-automatic Generation of Subcategorization Frames for Spanish Verbs Using Ontologies and Verbs Functional Class

机译:使用本体和动词功能类的西班牙语动词的半自动生成子类别帧

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—This work deals with the semi-automatic generation of subcategorization frames (SCFs) of Spanish verbs; specifically, given a set of verbs in Spanish and their respective sense, their SCFs are obtained. The acquisition of SCFs in Spanish has been approached in different works: in some the frames are generated manually, while in others they are obtained semi-automatically from a tagged corpus; unfortunately in this case, the results depend on the characteristics of the texts used. The method proposed in this document combines an ontology-based approach (through lexical relations of verbs) and linguistic knowledge (functional class of verbs). The relations among base verbs and other verbs were obtained from the Spanish WordNet ontology, which contains lexical relations among words. Also, the existing relation between the SCF and the functional class of verbs was used to generate the SCFs. In order to evaluate the method, the SCFs for 44 base verbs were generated manually, from which 239 SCFs were automatically generated and validated, yielding an accuracy of 89.38%.
机译:- 这项工作涉及西班牙语动词的半自动生成子类别(SCS);具体地,给出了一组西班牙语的动词及其各自的感觉,获得了他们的SCF。在不同的作品中接近了西班牙语中的SCFS:在某些情况下,手动生成帧,而在其他方面则从标记的语料库中自动获得半自动获取。不幸的是,在这种情况下,结果取决于所用文本的特征。本文件中提出的方法结合了基于本体的方法(通过动词的词汇关系)和语言知识(动词的功能类)。基本动词和其他动词之间的关系是从西班牙Wordnet本体获得的,其中包含单词之间的词汇关系。此外,使用SCF与功能类的现有关系用于生成SCFS。为了评估该方法,手动产生44个基本动词的SCFS,从中生成和验证239个SCF,从而产生89.38%的准确度。

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