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Comparison of different algebras for inducing the temporal structure of texts

Pascal Denis 1 Philippe Muller 1, 2
1 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
Inria Paris-Rocquencourt, UPD7 - Université Paris Diderot - Paris 7
2 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
IRIT - Institut de recherche en informatique de Toulouse
Abstract : This paper investigates the impact of using different temporal algebras for learning temporal relations between events. Specifically, we compare three interval-based algebras: Allen \shortcite{Allen83} algebra, Bruce \shortcite{Bruce72} algebra, and the algebra derived from the TempEval-07 campaign. These algebras encode different granularities of relations and have different inferential properties. They in turn behave differently when used to enforce global consistency constraints on the building of a temporal representation. Through various experiments on the TimeBank/AQUAINT corpus, we show that although the TempEval relation set leads to the best classification accuracy performance, it is too vague to be used for enforcing consistency. By contrast, the other two relation sets are similarly harder to learn, but more useful when global consistency is important. Overall, the Bruce algebra is shown to give the best compromise between learnability and expressive power.
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https://hal.inria.fr/inria-00511586
Contributor : Philippe Muller <>
Submitted on : Wednesday, August 25, 2010 - 2:42:01 PM
Last modification on : Tuesday, September 8, 2020 - 10:16:04 AM

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  • HAL Id : inria-00511586, version 1

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Pascal Denis, Philippe Muller. Comparison of different algebras for inducing the temporal structure of texts. Proceedings of the 23rd International Conference on Computational Linguistics - Coling 2010, Aug 2010, Beijing, China. pp.250--258. ⟨inria-00511586⟩

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