语篇级信息的衔接与双语语篇连接词汇的归纳

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Semantic Web Pub Date : 2022-06-20 DOI:10.3233/sw-223011

Sibel Özer, Murathan Kurfali, Deniz Zeyrek, Amália Mendes, Giedre Valunaite Oleskeviciene

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引用次数: 3

摘要

进行全面的跨语言语篇分析的最大障碍是多语言资源的缺乏。现有的资源绝大多数是单语的，迫使研究人员通过容易出错的自动手段推断目标语言的语篇级信息。本文旨在通过链接TED多语言话语库的注释关系，更直接地了解话语结构的跨语言变化。该库由7种不同语言的6个TED演讲独立注释组成。对比三种不同语言的关系与英语文本上的关系的半自动链接，结果表明，这些语言文本中标注的关系上的语言标签可以高精度地自动链接到英语。由此产生的语料库在揭示地方话语关系的差异和挖掘新资源方面具有很大的潜力，双语话语连接词汇的归纳就是一个很好的例子。

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Linking discourse-level information and the induction of bilingual discourse connective lexicons

The single biggest obstacle in performing comprehensive cross-lingual discourse analysis is the scarcity of multilingual resources. The existing resources are overwhelmingly monolingual, compelling researchers to infer the discourse-level information in the target languages through error-prone automatic means. The current paper aims to provide a more direct insight into the cross-lingual variations in discourse structures by linking the annotated relations of the TED-Multilingual Discourse Bank, which consists of independently annotated six TED talks in seven different languages. It is shown that the linguistic labels over the relations annotated in the texts of these languages can be automatically linked with English with high accuracy, as verified against the relations of three diverse languages semi-automatically linked with relations over English texts. The resulting corpus has a great potential to reveal the divergences in local discourse relations, as well as leading to new resources, as exemplified by the induction of bilingual discourse connective lexicons.

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来源期刊

Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

8.30

自引率

6.70%

发文量

期刊介绍： The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.