一个用于在新闻提要中注释和查询引文的大型系统

Jisheng Liang, Navdeep Dhillon, K. Koperski
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引用次数: 14

摘要

在本文中,我们描述了一个从新闻提要中自动提取引文的系统,并允许有效地检索语义注释的引文。用于实时查询从最近新闻提要中提取的超过1000万条报价的api是公开的。此外,我们每天从大约5万篇新闻文章或博客中添加大约6万条新引语。我们应用计算语言技术,如共指解析、实体识别和消歧来提高引用检测的精度和召回率。我们支持对引号中提到的说话者和实体进行分面搜索。
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A large-scale system for annotating and querying quotations in news feeds
In this paper, we describe a system that automatically extracts quotations from news feeds, and allows efficient retrieval of the semantically annotated quotes. APIs for real-time querying of over 10 million quotes extracted from recent news feeds are publicly available. In addition, each day we add around 60 thousand new quotes extracted from around 50 thousand news articles or blogs. We apply computational linguistic techniques such as coreference resolution, entity recognition and disambiguation to improve both precision and recall of the quote detection. We support faceted search on both speakers and entities mentioned in the quotes.
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Using BM25F for semantic search Dear search engine: what's your opinion about...?: sentiment analysis for semantic enrichment of web search results The wisdom in tweetonomies: acquiring latent conceptual structures from social awareness streams Paraphrasing invariance coefficient: measuring para-query invariance of search engines A large-scale system for annotating and querying quotations in news feeds
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