Extraction of Temporal Information from Texts in Swedish
Anders Berglund, Richard Johansson, Pierre Nugues · 2006
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.