Parlamint-it:意大利议会发言的 18 克拉 UD 树状库

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Language Resources and Evaluation Pub Date : 2024-07-06 DOI:10.1007/s10579-024-09748-6
Chiara Alzetta, Simonetta Montemagni, Marta Sartor, Giulia Venturi
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引用次数: 0

摘要

本文介绍了 ParlaMint-It,这是一个新的意大利议会辩论树库,基于通用依存关系(UD)框架进行语言注释。该资源包含 20,460 个标记,代表了 UD 计划中代表性不足的混合语言种类。ParlaMint-It 是人工修订过程的结果,该过程依赖于一种半自动方法,该方法能够识别最有可能包含自动注释产生的不一致和重复错误模式的句子。这种方法使修订过程比修订整个树库更快、更有效。此外,这种方法还能识别和纠正因语言结构在 UD 树状库中表现不一致以及因议会发言的特殊性而产生的注释错误。因此,该树状库被视为 "18 克拉 "资源,因为尽管没有完全人工修订,但对于从事意大利语语言处理任务的研究人员来说,它是一个宝贵的资源。
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Parlamint-it: an 18-karat UD treebank of Italian parliamentary speeches

The paper presents ParlaMint-It, a new treebank of Italian parliamentary debates, linguistically annotated based on the Universal Dependencies (UD) framework. The resource comprises 20,460 tokens and represents a hybrid language variety that is underrepresented in the UD initiative. ParlaMint-It results from a manual revision process that relies on a semi-automatic methodology able to identify sentences that are most likely to contain inconsistencies and recurrent error patterns generated by the automatic annotation. Such a method made the revision process faster and more efficient than revising the entire treebank. In addition, it allowed the identification and correction of annotation errors resulting from linguistic constructions inconsistently represented in UD treebanks and from characteristics specific to parliamentary speeches. Hence, the treebank is deemed as an 18-karat resource, since, although not fully manually revised, it is a valuable resource for researchers working on Italian language processing tasks.

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来源期刊
Language Resources and Evaluation
Language Resources and Evaluation 工程技术-计算机:跨学科应用
CiteScore
6.50
自引率
3.70%
发文量
55
审稿时长
>12 weeks
期刊介绍: Language Resources and Evaluation is the first publication devoted to the acquisition, creation, annotation, and use of language resources, together with methods for evaluation of resources, technologies, and applications. Language resources include language data and descriptions in machine readable form used to assist and augment language processing applications, such as written or spoken corpora and lexica, multimodal resources, grammars, terminology or domain specific databases and dictionaries, ontologies, multimedia databases, etc., as well as basic software tools for their acquisition, preparation, annotation, management, customization, and use. Evaluation of language resources concerns assessing the state-of-the-art for a given technology, comparing different approaches to a given problem, assessing the availability of resources and technologies for a given application, benchmarking, and assessing system usability and user satisfaction.
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