A Heuristic Approach to Order Events in Narrative Texts

Author

Nouioua, Farid

Author_Institution

Inst. Galilee, Univ. Paris 13, Paris

fYear

2008

fDate

16-18 June 2008

Firstpage

67

Lastpage

71

Abstract

We describe a heuristic method to order the events evoked in texts describing road accidents. The method consists first in generating, by non monotonic inference rules, a set of precedence and simultaneity constraints between temporal references linked to particular words of the text. Then, the proposed algorithm updates the narration order of the events to satisfy these constraints and give the real order of the events described in this text. The temporal information is represented according to a linear temporal model which is enhanced in a first order reified language.

Keywords

inference mechanisms; natural language processing; road safety; text analysis; traffic engineering computing; first order reified language; heuristic approach; linear temporal model; narration order; narrative texts; nonmonotonic inference rules; order events; road accidents; temporal information; temporal references; Artificial intelligence; Feeds; Inference algorithms; Joining processes; Natural languages; Qualifications; Road accidents; non-monotonic reasoning; ordering events; temporal reasoning; temporality in natural language;

fLanguage

English

Publisher

ieee

Conference_Titel

Temporal Representation and Reasoning, 2008. TIME '08. 15th International Symposium on

Conference_Location

Montreal, QC

ISSN

1530-1311

Print_ISBN

978-0-7695-3181-6

Type

conf

DOI

10.1109/TIME.2008.13

Filename

4553293