Publication | Open Access
SemEval-2007 task 06
78
Citations
10
References
2007
Year
Unknown Venue
Semeval-2007 TaskSemantic Role LabelingEngineeringIntelligent SystemsSemanticsEvaluation StrategyFrequent English PrepositionsLanguage LearningLarge-scale DatasetsCorpus LinguisticsApplied LinguisticsNatural Language ProcessingSyntaxComputational LinguisticsLanguage StudiesMachine TranslationSemeval-2007 Task 06Nlp TaskComputer ScienceSemantic ParsingDataset CreationLexical ResourcePreposition BehaviorLinguisticsWord-sense DisambiguationData Modeling
The SemEval-2007 task to disambiguate prepositions was designed as a lexical sample task. A set of over 25,000 instances was developed, covering 34 of the most frequent English prepositions, with two-thirds of the instances for training and one-third as the test set. Each instance identified a preposition to be tagged in a full sentence taken from the FrameNet corpus (mostly from the British National Corpus). Definitions from the Oxford Dictionary of English formed the sense inventories. Three teams participated, with all achieving supervised results significantly better than baselines, with a high fine-grained precision of 0.693. This level is somewhat similar to results on lexical sample tasks with open class words, indicating that significant progress has been made. The data generated in the task provides ample opportunitites for further investigations of preposition behavior.
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