Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Learning event durations from event descriptions
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
SemEval-2007 task 15: TempEval temporal relation identification
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
SemEval-2010 task 13: evaluating events, time expressions, and temporal relations (TempEval-2)
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Simple coreference resolution with rich syntactic and semantic features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Graph-based event coreference resolution
TextGraphs-4 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing
Crowdsourcing and language studies: the new generation of linguistic data
CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
Automatic acquisition of gender information for anaphora resolution
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Extracting fine-grained durations for verbs from Twitter
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Extracting narrative timelines as temporal dependency structures
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Extracting and modeling durations for habits and events from Twitter
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Using textual patterns to learn expected event frequencies
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
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We present the first approach to learning the durations of events without annotated training data, employing web query patterns to infer duration distributions. For example, we learn that "war" lasts years or decades, while "look" lasts seconds or minutes. Learning aspectual information is an important goal for computational semantics and duration information may help enable rich document understanding. We first describe and improve a supervised baseline that relies on event duration annotations. We then show how web queries for linguistic patterns can help learn the duration of events without labeled data, producing fine-grained duration judgments that surpass the supervised system. We evaluate on the TimeBank duration corpus, and also investigate how an event's participants (arguments) effect its duration using a corpus collected through Amazon's Mechanical Turk. We make available a new database of events and their duration distributions for use in research involving the temporal and aspectual properties of events.