Learning Script Knowledge with Web Experiments

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 naturallanguage descriptions of script-specific event sequences from volunteers 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.

• Type: Journal
• Year: 2010
• Where: ACL
• Authors: Michaela Regneri, Alexander Koller, Manfred Pinkal
• Keywords: ACL 2010, Computational Linguistics, Multiple Sequence Alignment, Script-specific Event Sequences, Temporal Ordering