Extraction of temporal information from texts in Swedish

Anders Berglund, Richard Johansson, Pierre Nugues

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of LREC-2006, The fifth international conference on Language Resources and Evaluation
Pages259-264
Number of pages6
Publication statusPublished - 2006
EventLREC-2006, The fifth international conference on Language Resources and Evaluation - Genoa
Duration: 2006 May 242006 May 26

Conference

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

Subject classification (UKÄ)

  • Computer Science

Keywords

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

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