Title
Exploiting aspectual features and connecting words for summarization-inspired temporal-relation extraction
Abstract
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
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. Dorr12150176.78
Terry Gaasterland2447148.59