Extraction of temporal information from texts in Swedish
Author
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.
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.
Publishing year
2006
Language
English
Pages
259-264
Publication/Series
Proceedings of LREC-2006, The fifth international conference on Language Resources and Evaluation
Links
Document type
Conference paper
Topic
- Computer Science
Keywords
- 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