A Framework for Constructing Temporal Models from Texts

Enrique Alfonseca and Suresh Manandhar

We describe here the algorithm and criteria we have used for the identification of events in a text, and for finding the temporal relations between them. Some of our ad hoc heuristics provide very good results, with precision and recall values around 90%, that are able to provide us a fairly good ordering of events from different kinds of texts. There are still some difficult cases not covered by the heuristics, and we are working in annotating a bigger training set so we can learn rules for them.

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