Paper: Finding Clauses In Unrestricted Text By Finitary And Stochastic Methods

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Basic Info:

id: A88-1030
title: Finding Clauses In Unrestricted Text By Finitary And Stochastic Methods
authors: Ejerhed, Eva I. (AT&T Bell Labs, Murray Hill NJ; University of Umea, Umea Sweden)
venue: ANLP
year: 1988
pdf: link

Abstract

The paper presents and compares two different methods of parsing, a regular expression method and a stochastic method, with respect to their success in identifying basic clauses in unrestricted English text. These methods of parsing were developed in order to be applied to the task of improving the detection of large prosodic units in the Bell Labs text-to-speech system, and were so applied experimentally. The paper also discusses the notion of basic clause that was defined as the parsing target. The result of a comparison of the error rates of the two parsing methods in the recognition of basic clauses showed that there was a 13% error rate for the regular expression method and a 6.5% error rate for the stochastic method.

Statistics Summary
Stat	Rank	Value
Incoming Citations	2287(1832)	5(5)
Outgoing Citations	7200(6218)	2(2)
PageRank	2	18876
PageRank per Year	2	943.8

Incoming Citations
Id	Title
A88-1019	A Stochastic Parts Program And Noun Phrase Parser For Unrestricted Text
A92-1020	A Corpus-Based Statistical Approach To Automatic Book Indexing
W95-0107	Text Chunking Using Transformation-Based Learning
C00-2089	Tagging And Chunking With Bigrams
W01-0708	Introduction To The CoNLL-2001 Shared Task: Clause Identification

Outgoing Citations
Id	Title
P86-1022	The Contribution Of Parsing To Prosodic Phrasing In An Experimental Text-To-Speech System
A88-1019	A Stochastic Parts Program And Noun Phrase Parser For Unrestricted Text

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Citation Summary
Citing sentences
A92-1020 1 19:128 These include the availability of efficient and high precision word segmentation methods for Chinese text \[Chang et al. , 1991; Sproat and Shih, 1990; Wang et al. , 1990\], the availability of statistical analysis of a Chinese corpus \[Liu et al. , 1975\] and large-scale electronic Chinese dictionaries with partof-speech information \[Chang et al. , 1988; BDC, 1992\], the corpus-based statistical part-of-speech tagger \[Church, 1988; DeRose, 1988; Beale, 1988\], as well as phrasal and clausal analyzers \[Church 1988; Ejerhed 1990\] 2.
W95-0107 2 40:265 At about the same time, Ejerhed (1988), working with Church, performed comparisons between finite state methods and Church's stochastic models for identifying both non-recursive clauses and non-recursive NPs in English text.