Automatic classification of patterns from the Pattern Dictionary of English Verbs
| Autoři | |
|---|---|
| Rok publikování | 2014 |
| Druh | Článek ve sborníku |
| Konference | Joint Symposium on Semantic Processing 2013: Textual Inference and Structures in Corpora |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | http://www.proceedings.com/20541.html |
| Obor | Informatika |
| Klíčová slova | corpus pattern analysis; pattern dictionary of english verbs; semantic type; verb pattern |
| Popis | 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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