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Extraction of temporal information from texts in Swedish

In English

Författare

Summary, in English

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.

Publiceringsår

2006

Språk

Engelska

Sidor

259-264

Publikation/Tidskrift/Serie

Proceedings of LREC-2006, The fifth international conference on Language Resources and Evaluation

Dokumenttyp

Konferensbidrag

Ämne

  • Computer Science

Nyckelord

  • information extraction
  • semantic analysis
  • temporal relations
  • Natural language processing

Conference name

LREC-2006, The fifth international conference on Language Resources and Evaluation

Conference date

2006-05-24 - 2006-05-26

Status

Published