<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="henderson-2003-generative">
    <titleInfo>
        <title>Generative versus Discriminative Models for Statistical Left-Corner Parsing</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">James</namePart>
        <namePart type="family">Henderson</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2003-04</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Eighth International Conference on Parsing Technologies</title>
        </titleInfo>
        <originInfo>
            <place>
                <placeTerm type="text">Nancy, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We propose two statistical left-corner parsers and investigate their accuracy at varying speeds. The parser based on a generative probability model achieves state-of-the-art accuracy when sufficient time is available, but when high speed is required the parser based on a discriminative probability model performs better. Neural network probability estimation is used to handle conditioning on both the unbounded parse histories and the unbounded lookahead strings.</abstract>
    <identifier type="citekey">henderson-2003-generative</identifier>
    <location>
        <url>https://aclanthology.org/W03-3011/</url>
    </location>
    <part>
        <date>2003-04</date>
        <extent unit="page">
            <start>115</start>
            <end>126</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Generative versus Discriminative Models for Statistical Left-Corner Parsing
%A Henderson, James
%S Proceedings of the Eighth International Conference on Parsing Technologies
%D 2003
%8 April
%C Nancy, France
%F henderson-2003-generative
%X We propose two statistical left-corner parsers and investigate their accuracy at varying speeds. The parser based on a generative probability model achieves state-of-the-art accuracy when sufficient time is available, but when high speed is required the parser based on a discriminative probability model performs better. Neural network probability estimation is used to handle conditioning on both the unbounded parse histories and the unbounded lookahead strings.
%U https://aclanthology.org/W03-3011/
%P 115-126

Markdown (Informal)

[Generative versus Discriminative Models for Statistical Left-Corner Parsing](https://aclanthology.org/W03-3011/) (Henderson, IWPT 2003)

• Generative versus Discriminative Models for Statistical Left-Corner Parsing (Henderson, IWPT 2003)

ACL

• James Henderson. 2003. Generative versus Discriminative Models for Statistical Left-Corner Parsing. In Proceedings of the Eighth International Conference on Parsing Technologies, pages 115–126, Nancy, France.