@article {13770,
	title = {Exploiting aspectual features and connecting words for summarization-inspired temporal-relation extraction},
	journal = {Information Processing \& Management},
	volume = {43},
	year = {2007},
	month = {2007/11//},
	pages = {1681 - 1704},
	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{\textemdash}in preparation for subsequent processing for multi-document summarization. An important contribution of this work is the extension of two different existing theoretical frameworks{\textemdash}Hornstein{\textquoteright}s 1990 theory of tense analysis and Allen{\textquoteright}s 1984 theory on event ordering{\textemdash}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.},
	keywords = {Parsing and corpus analysis, Summarization, temporal ordering, Temporal-relation extraction, Tense, aspect and connecting words},
	isbn = {0306-4573},
	doi = {10.1016/j.ipm.2007.01.008},
	url = {http://www.sciencedirect.com/science/article/pii/S0306457307000271},
	author = {Dorr, Bonnie J and Gaasterland,Terry}
}
