<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="lenci-etal-2008-unsupervised">
    <titleInfo>
        <title>Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Alessandro</namePart>
        <namePart type="family">Lenci</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Barbara</namePart>
        <namePart type="family">McGillivray</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Simonetta</namePart>
        <namePart type="family">Montemagni</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Vito</namePart>
        <namePart type="family">Pirrelli</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2008-may</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)</title>
        </titleInfo>
        <originInfo>
            <publisher>European Language Resources Association (ELRA)</publisher>
            <place>
                <placeTerm type="text">Marrakech, Morocco</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper, we reported experiments of unsupervised automatic acquisition of Italian and English verb subcategorization frames (SCFs) from general and domain corpora. The proposed technique operates on syntactically shallow-parsed corpora on the basis of a limited number of search heuristics not relying on any previous lexico-syntactic knowledge about SCFs. Although preliminary, reported results are in line with state-of-the-art lexical acquisition systems. The issue of whether verbs sharing similar SCFs distributions happen to share similar semantic properties as well was also explored by clustering verbs that share frames with the same distribution using the Minimum Description Length Principle (MDL). First experiments in this direction were carried out on Italian verbs with encouraging results.</abstract>
    <identifier type="citekey">lenci-etal-2008-unsupervised</identifier>
    <location>
        <url>http://www.lrec-conf.org/proceedings/lrec2008/pdf/763_paper.pdf</url>
    </location>
    <part>
        <date>2008-may</date>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora
%A Lenci, Alessandro
%A McGillivray, Barbara
%A Montemagni, Simonetta
%A Pirrelli, Vito
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 may
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F lenci-etal-2008-unsupervised
%X In this paper, we reported experiments of unsupervised automatic acquisition of Italian and English verb subcategorization frames (SCFs) from general and domain corpora. The proposed technique operates on syntactically shallow-parsed corpora on the basis of a limited number of search heuristics not relying on any previous lexico-syntactic knowledge about SCFs. Although preliminary, reported results are in line with state-of-the-art lexical acquisition systems. The issue of whether verbs sharing similar SCFs distributions happen to share similar semantic properties as well was also explored by clustering verbs that share frames with the same distribution using the Minimum Description Length Principle (MDL). First experiments in this direction were carried out on Italian verbs with encouraging results.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/763_paper.pdf

Markdown (Informal)

[Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora](http://www.lrec-conf.org/proceedings/lrec2008/pdf/763_paper.pdf) (Lenci et al., LREC 2008)

• Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora (Lenci et al., LREC 2008)

ACL

• Alessandro Lenci, Barbara McGillivray, Simonetta Montemagni, and Vito Pirrelli. 2008. Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).