Automatic classification of patterns from the Pattern Dictionary of English Verbs

This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.

Authors

BAISA Vít EL MAAROUF Ismail

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

Citation
Web http://www.proceedings.com/20541.html
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.
Related projects: