Extraction of temporal information from texts in Swedish

Anders Berglund, Richard Johansson, Pierre Nugues

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

This paper describes the implementation and evaluation of a generic component to extract temporal information from texts in Swedish. It proceeds in two steps. The first step extracts time expressions and events, and generates a feature vector for each element it identifies. Using the vectors, the second step determines the
temporal relations, possibly none, between the extracted events and orders them in time.
We used a machine learning approach to find the relations between events. To run the learning algorithm, we collected a corpus of road accident reports from newspapers websites that we manually annotated. It enabled us to train decision trees and to evaluate the performance of the algorithm.
Originalspråkengelska
Titel på gästpublikationProceedings of LREC-2006, The fifth international conference on Language Resources and Evaluation
Sidor259-264
Antal sidor6
StatusPublished - 2006
EvenemangLREC-2006, The fifth international conference on Language Resources and Evaluation - Genoa
Varaktighet: 2006 maj 242006 maj 26

Konferens

KonferensLREC-2006, The fifth international conference on Language Resources and Evaluation
Period2006/05/242006/05/26

Ämnesklassifikation (UKÄ)

  • Datavetenskap (datalogi)

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