Constrained atomic term: Widening the reach of rule templates in transformation based learning

Cícero Nogueira Dos Santos*, Claudia Oliveira

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    Abstract

    Within the framework of Transformation Based Learning (TBL), the rule template is one of the most important elements in the learning process. This paper presents a new model for TBL templates, in which the basic unit, denominated here as an atomic term (AT), encodes a variable sized window and a test that precedes the capture of a feature's value. A case study of Portuguese NP identification is described and the experimental results obtained are presented.

    Original languageEnglish
    Title of host publicationProgress in Artificial Intelligence - 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, Proceedings
    Pages622-633
    Number of pages12
    Volume3808 LNCS
    Publication statusPublished - 2005
    Event12th Portuguese Conference on Artificial Intelligence, EPIA 2005 - Progress in Artificial Intelligence - Covilha, Portugal
    Duration: 5 Dec 20058 Dec 2005

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3808 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other12th Portuguese Conference on Artificial Intelligence, EPIA 2005 - Progress in Artificial Intelligence
    Country/TerritoryPortugal
    CityCovilha
    Period5/12/058/12/05

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