Anders Berglund
2006
A Machine Learning Approach to Extract Temporal Information from Texts in Swedish and Generate Animated 3D Scenes
Anders Berglund
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Richard Johansson
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Pierre Nugues
11th Conference of the European Chapter of the Association for Computational Linguistics
Extraction of Temporal Information from Texts in Swedish
Anders Berglund
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Richard Johansson
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Pierre Nugues
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
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.
2004
Carsim: A system to visualize written road accident reports as animated 3D scenes
Richard Johansson
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David Williams
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Anders Berglund
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Pierre Nugues
Proceedings of the 2nd Workshop on Text Meaning and Interpretation
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