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The UCREL semantic analysis system.

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date2004
Host publicationProceedings of the beyond named entity recognition semantic labelling for NLP tasks workshop, Lisbon, Portugal, 2004
Place of publicationLisbon
Pages7-12
Number of pages6
Original languageEnglish

Workshop

WorkshopBeyond Named Entity Recognition Semantic labelling for NLP tasks
CountryPortugal
CityLisbon
Period25/05/0425/05/04

Workshop

WorkshopBeyond Named Entity Recognition Semantic labelling for NLP tasks
CountryPortugal
CityLisbon
Period25/05/0425/05/04

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