Hugo:基于实体的新闻搜索和摘要

Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval Pub Date : 2015-10-22 DOI:10.1145/2810133.2810144

Anaïs Cadilhac, Andrew Chisholm, Ben Hachey, S. Kharazmi

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引用次数: 4

摘要

我们描述了Hugo——一种最初在iOS上可用的服务，它可以请求结构化的语义查询，并返回特定实体的新闻文章。检索由语义注释管道提供支持，该管道包括命名实体链接和自动摘要。搜索和实体链接使用内部知识库初始化维基百科数据，并不断策划包括新的实体。Hugo提供有关用户专业网络的及时知识，特别是他们想要更多地了解的新人。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hugo: Entity-based News Search and Summarisation

We describe Hugo -- a service initially available on iOS that solicits a structured, semantic query and returns entity-specific news articles. Retrieval is powered by a semantic annotation pipeline that includes named entity linking and automatic summarisation. Search and entity linking use an in-house knowledge base initialised with Wikipedia data and continually curated to include new entities. Hugo delivers timely knowledge about a user's professional network, in particular new people they want to know more about.

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Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval

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