Paper: Projection-based Acquisition of a Temporal Labeller

ACL ID I08-1064
Title Projection-based Acquisition of a Temporal Labeller
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008
Authors

We present a cross-lingual projection frame- work for temporal annotations. Auto- matically obtained TimeML annotations in the English portion of a parallel corpus are transferred to the German translation along a word alignment. Direct projection augmented with shallow heuristic knowl- edge outperforms the uninformed baseline by 6.64% F1-measure for events, and by 17.93% for time expressions. Subsequent training of statistical classifiers on the (im- perfect) projected annotations significantly boosts precision by up to 31% to 83.95% and 89.52%, respectively.