Title | ||
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Exploiting aspectual features and connecting words for summarization-inspired temporal-relation extraction |
Abstract | ||
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This paper presents a model that incorporates contemporary theories of tense and aspect and develops a new framework for extracting temporal relations between two sentence-internal events, given their tense, aspect, and a temporal connecting word relating the two events. A linguistic constraint on event combination has been implemented to detect incorrect parser analyses and potentially apply syntactic reanalysis or semantic reinterpretation-in preparation for subsequent processing for multi-document summarization. An important contribution of this work is the extension of two different existing theoretical frameworks-Hornstein's 1990 theory of tense analysis and Allen's 1984 theory on event ordering-and the combination of both into a unified system for representing and constraining combinations of different event types (points, closed intervals, and open-ended intervals). We show that our theoretical results have been verified in a large-scale corpus analysis. The framework is designed to inform a temporally motivated sentence-ordering module in an implemented multi-document summarization system. |
Year | DOI | Venue |
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2007 | 10.1016/j.ipm.2007.01.008 | Inf. Process. Manage. |
Keywords | Field | DocType |
parsing and corpus analysis,tense,summarization-inspired temporal-relation extraction,07.05.mh,sentence-internal event,large-scale corpus analysis,temporal ordering,summarization,aspectual feature,aspect and connecting words,incorrect parser analysis,43.71.sy,temporal-relation extraction,different event type,contemporary theory,89.20.ff,different existing theoretical frameworks-hornstein,tense analysis,constraining combination,event combination,event ordering-and,multi document summarization,relation extraction | Automatic summarization,Information retrieval,Computer science,Phrase,Information extraction,Artificial intelligence,Natural language processing,Parsing,Syntax,Sentence,Grammatical tense,Relationship extraction | Journal |
Volume | Issue | ISSN |
43 | 6 | Information Processing and Management |
Citations | PageRank | References |
3 | 0.48 | 26 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bonnie J. Dorr | 1 | 2150 | 176.78 |
Terry Gaasterland | 2 | 447 | 148.59 |