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MC4WEPS: a multilingual corpus for Web people search disambiguation

机译：MC4WEPS：适用于Web人搜索歧义的多语言语料库

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摘要

This article introduces the MC4WEPS corpus, a new resource for evaluating Web people search disambiguation tasks, and describes its design, collection and annotation process, the agreement between the different annotators, and finally introduces a baseline evaluation. This corpus is built by compiling multilingual search engines results where the queries are person names. Proper noun disambiguation is an open problem in natural language ambiguity resolution and, specifically, resolving the ambiguity of person names in Web search results is still a challenging problem. However, state-of-the-art approaches have been evaluated only with monolingual web page collections. The MC4WEPS corpus aims to provide the research community with a reference corpus for the task of disambiguating search engine results where the query is a person name shared by homonymous individuals. The features of this new corpus stand out from existing corpora for the same task, namely multilingualism and inclusion of social networking websites. These characteristics make it more representative of a real search scenario, especially for evaluating person name disambiguation in a multilingual context. The article also includes detailed information about the format and the availability of the corpus.
机译：本文介绍了MC4WEPS语料库（一种用于评估Web人搜索消歧任务的新资源），并描述了其设计，收集和注释过程，不同注释者之间的协议，最后介绍了基准评估。该语料库是通过编译多语言搜索引擎结果（其中查询是人名）而构建的。适当的名词歧义消除是自然语言歧义度解决中的一个开放问题，特别是，解决Web搜索结果中人名的歧义仍然是一个具有挑战性的问题。但是，仅使用单语言网页集对最新技术进行了评估。 MC4WEPS语料库旨在为研究社区提供参考语料库，以消除搜索引擎结果的歧义，其中查询是同名个人共享的人名。该新语料库的功能从现有语料库中脱颖而出，用于同一任务，即使用多种语言和包含社交网站。这些特征使其更能代表真实的搜索场景，尤其是在评估多语言环境中的人名歧义性时。本文还包括有关语料库的格式和可用性的详细信息。

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