Lucene in Action (In Action series)
Lucene in Action (In Action series)
Extracting statistical data frames from text
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Opinion Mining on Newspaper Quotations
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Semantic search in the World News domain using automatically extracted metadata files
Knowledge-Based Systems
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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.