Aligning Script Events with Narrative Texts
This addresses a problem in natural language processing for tasks requiring script knowledge, but it appears incremental as it builds on existing datasets and methods.
The paper tackled the problem of mapping event mentions in narrative texts to script event types, and the result showed that this complex task is feasible, though no concrete numbers were provided.
Script knowledge plays a central role in text understanding and is relevant for a variety of downstream tasks. In this paper, we consider two recent datasets which provide a rich and general representation of script events in terms of paraphrase sets. We introduce the task of mapping event mentions in narrative texts to such script event types, and present a model for this task that exploits rich linguistic representations as well as information on temporal ordering. The results of our experiments demonstrate that this complex task is indeed feasible.