TY - CONF
T1 - Diversity of scenarios in information extraction
AU - Huttunen, Silja
AU - Yangarber, Roman
AU - Grishman, Ralph
N1 - Funding Information:
This research is supported by the Defense Advanced Research Projects Agency as part of the Translingual Information Detection, Extraction and Summarization (TIDES) program, under Grant N66001-001-1-8917 from the Space and Naval Warfare Systems Center San Diego, and by the National Science Foundation under Grant IIS-0081962. This paper does not necessarily reflect the position or the policy of the U.S. Government.
Funding Information:
This research is supported by the Defense Advanced Research Projects Agency as part of the Translingual Information Detection, Extraction and Summarization (TIDES) program, under Grant N66001-001-1-8917 from the Space and Naval Warfare Systems Center San Diego, and by the National Science Foundation under Grant IIS-0081962.
PY - 2002
Y1 - 2002
N2 - This paper discusses/presents problems of template structure for Information Extraction. We investigate these problems in the context of two new Information Extraction scenarios which are linguistically and structurally more challenging than the traditional MUC scenarios. By a scenario we mean a predefined set of facts to be extracted from text. Traditional views on event structure and template design are not adequate for the more complex scenarios. We identify two structural factors that contribute to the complexity of a scenario: first, the scattering of events in text, and second, inclusion relationship between events. These factors cause difficulty in representing the facts in an unambiguous way. Traditional views on event structure and template design are not adequate for the more complex scenarios. We propose that these kinds of event relationships can be better described with a modular, hierarchical model.
AB - This paper discusses/presents problems of template structure for Information Extraction. We investigate these problems in the context of two new Information Extraction scenarios which are linguistically and structurally more challenging than the traditional MUC scenarios. By a scenario we mean a predefined set of facts to be extracted from text. Traditional views on event structure and template design are not adequate for the more complex scenarios. We identify two structural factors that contribute to the complexity of a scenario: first, the scattering of events in text, and second, inclusion relationship between events. These factors cause difficulty in representing the facts in an unambiguous way. Traditional views on event structure and template design are not adequate for the more complex scenarios. We propose that these kinds of event relationships can be better described with a modular, hierarchical model.
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M3 - Paper
AN - SCOPUS:33845969435
SP - 1443
EP - 1450
T2 - 3rd International Conference on Language Resources and Evaluation, LREC 2002
Y2 - 29 May 2002 through 31 May 2002
ER -