The UCREL Semantic Analysis System

Rayson, P, Archer, DE, Piao, SL and McEnery, T (2004) The UCREL Semantic Analysis System. In: LREC-04, 26 May 2004 - 28 May 2004, Lisbon, Portugal.

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Abstract

The UCREL semantic analysis system (USAS) is a software tool for undertaking the automatic semantic analysis of English spoken and written data. This paper describes the software system, and the hierarchical semantic tag set containing 21 major discourse fields and 232 fine-grained semantic field tags. We discuss the manually constructed lexical resources on which the system relies, and the seven disambiguation methods including part-of-speech tagging, general likelihood ranking, multi-word-expression extraction, domain of discourse identification, and contextual rules. We report an evaluation of the accuracy of the system compared to a manually tagged test corpus on which the USAS software obtained a precision value of 91%. Finally, we make reference to the applications of the system in corpus linguistics, content analysis, software engineering, and electronic dictionaries.

Item Type:	Conference or Workshop Item (Paper)
Published Proceedings:	Proceedings of the workshop on Beyond Named Entity Recognition Semantic labelling for NLP tasks, in association with LREC-04
Peer-reviewed:	Yes
Date Deposited:	27 Feb 2018 12:09
Publisher:	European Language Resources Association
Additional Information:	Published in Proceedings of the workshop on Beyond Named Entity Recognition Semantic labelling for NLP tasks, in association with LREC-04.
Divisions:	Faculties > Arts and Humanities Research Centres > Creative Writing, English Literature and Linguistics
URI:	https://e-space.mmu.ac.uk/id/eprint/619651

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