Automatic classification of patterns from the Pattern Dictionary of English Verbs


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Year of publication 2014
Type Article in Proceedings
Conference Joint Symposium on Semantic Processing 2013: Textual Inference and Structures in Corpora
MU Faculty or unit

Faculty of Informatics

Field Informatics
Keywords corpus pattern analysis; pattern dictionary of english verbs; semantic type; verb pattern
Description The paper presents a supervised approach to semantic parsing, based on a new semantic resource, the Pattern Dictionary of English Verbs (PDEV). PDEV lists the most frequent patterns of English verbs identified in corpus. Each argument in a pattern is semantically categorized with semantic types from the PDEV ontology. Each pattern is linked to a set of sentences from the British National Corpus. The article describes PDEV in details and presents the task of pattern classification. The system described is based on a distributional approach, and achieves 66% in Micro-average F1 across a sample of 25 of the most frequent verbs.
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