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2008

Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining

8 years 4 months ago
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receive answers. Questionanswering from text has already been the goal of the Message Understanding Conferences. Since then, the task of text understanding has been reduced to several more tractable tasks, most prominently Named Entity Recognition (NER) and Relation Extraction. Now, pieces can be put together to form enhanced services added on an IR system. In this paper, we present a framework which combines standard IR with machine learning and (pre-)processing for NER in order to extract events from a large document collection. Some questions can already be answered by particular events. Other questions require an analysis of a set of events. Hence, the extracted events become input to another machine learning process which delivers the final output to the user's question. Our case study is the public colle...
Felix Jungermann, Katharina Morik
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where LWA
Authors Felix Jungermann, Katharina Morik
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