Learning script knowledge from web experiments

Michaela Regneri, Alexander Koller, and Manfred Pinkal

In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), Uppsala, 2010.

We describe a novel approach to unsupervised learning of the events that make up a script, along with constraints on their temporal ordering. We collect natural-language descriptions of script-specific event sequences over the Internet. Then we compute a graph representation of the script's temporal structure using a multiple sequence alignment algorithm. The evaluation of our system shows that we outperform two informed baselines.

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BibTeX Entry
@InProceedings{scripts-10,
	author = {Michaela Regneri and Alexander Koller and Manfred Pinkal},
	title = {Learning script knowledge from web experiments},
	year = {2010},
	address = {Uppsala},
	booktitle = {Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL)}
}

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