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Extracting semantic relations from Portuguese corpora using lexical-syntactic patterns

机译:使用词汇句法模式从葡萄牙语语料中提取语义关系

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The growing investment on automatic extraction procedures, together with the need for extensive resources, makes semi-automatic construction a new viable and efficient strategy for developing of language resources, combining accuracy, size, coverage and applicability. These assumptions motivated the work depicted in this paper, aiming at the establishment and use of lexical-syntactic patterns for extracting semantic relations for Portuguese from corpora, part of a larger ongoing project for the semi-automatic extension of WordNet.PT. 26 lexical-syntactic patterns were established, covering hypemymy/hyponymy and holonymy/meronymy relations between nominal items, and over 34 000 contexts were manually analyzed to evaluate the productivity of each pattern. The set of patterns and respective examples are given, as well as data concerning the extraction of relations - right hits, wrong hits and related hits-, as well as the total of occurrences of each pattern in CPRC. Although language-dependent, and thus clearly of obvious interest for the development of lexical resources for Portuguese, the results depicted in this paper are also expected to be helpful as a basis for the establishment of patterns for related languages such as Spanish, Catalan, French or Italian.
机译:对自动提取程序的日益增长的投资以及对大量资源的需求,使得半自动构建成为一种新的可行且有效的策略,用于开发语言资源,同时兼顾准确性,规模,覆盖范围和适用性。这些假设激发了本文中描述的工作,旨在建立和使用词法模式从语料库中提取葡萄牙语的语义关系,这是正在进行的WordNet.PT半自动扩展项目的一部分。建立了26种词汇-句法模式,涵盖了名词性项目之间的同义/同义和同名/代名词之间的关系,并人工分析了超过34000个语境,以评估每种模式的生产率。给出了模式集和相应的示例,以及有关关系提取的数据(正确命中,错误命中和相关命中),以及CPRC中每种模式出现的总数。尽管依赖于语言,因此显然对开发葡萄牙语词汇资源很感兴趣,但本文中描述的结果也有望作为建立相关语言模式(例如西班牙语,加泰罗尼亚语,法语)的基础提供帮助或意大利语。

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