Feng Pan


2011

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Annotating and Learning Event Durations in Text
Feng Pan | Rutu Mulkar-Mehta | Jerry R. Hobbs
Computational Linguistics, Volume 37, Issue 4 - December 2011

2007

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Computing Semantic Similarity between Skill Statements for Approximate Matching
Feng Pan | Robert Farrell
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference

2006

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An Annotated Corpus of Typical Durations of Events
Feng Pan | Rutu Mulkar | Jerry R. Hobbs
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

In this paper, we present our work on generating an annotated corpus for extracting information about the typical durations of events from texts. We include the annotation guidelines, the event classes we categorized, the way we use normal distributions to model vague and implicit temporal information, and how we evaluate inter-annotator agreement. The experimental results show that our guidelines are effective in improving the inter-annotator agreement.

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Learning Event Durations from Event Descriptions
Feng Pan | Rutu Mulkar | Jerry R. Hobbs
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

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Extending TimeML with Typical Durations of Events
Feng Pan | Rutu Mulkar | Jerry R. Hobbs
Proceedings of the Workshop on Annotating and Reasoning about Time and Events