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Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002.

Authors: B. Magnini; M. Negri; PREVETE, ROBERTO; H. Tanev;

Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002.

Abstract

This paper presents a new version of the DIOGENE Question Answering (QA) system developed at ITC-Irst. With respect to our first participation to the TREC QA main task (TREC-2001), the system presents both improvements and extensions. On one hand, significant improvements rely on the substitution of basic components (e.g. the search engine and the tool in charge of the named entities recognition) with new modules that enhanced the overall system’s performance. On the other hand, an effective extension of DIOGENE is represented by the introduction of a module for the automatic assessment of the candidate answers ’ quality. All the variations with respect to the first version of the system as well as the results obtained at the TREC-2002 QA main task are presented and discussed in the paper.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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