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A Comparison of Rule-Based and Machine Learning Methods for Identifying Non-nominal It

TitleA Comparison of Rule-Based and Machine Learning Methods for Identifying Non-nominal It
Publication TypeBook Chapter
Year of Publication2000
AuthorsEvans, R
EditorChristodoulakis, DN
Book TitleNatural Language Processing — NLP 2000
Series TitleLecture Notes in Computer Science
Volume1835
Pagination233-240
PublisherSpringer
CityBerlin / Heidelberg
ISBN Number978-3-540-67605-8
Abstract

The pronoun it is noted to be used in a variety of non-nominal ways. The identification of non-nominal pronouns is important in information retrieval, machine translation and automatic summarisation. Given that previous work has only tackled a subset of those non-nominal uses, a machine learning method for identification of all instances of non-nominal it is presented. The machine learning method is compared with a rule-based approach. The performance of each implementation is evaluated. The construction of an annotated corpus and training data are also described.

DOI10.1007/3-540-45154-4_22