@article{bisk-hockenmaier-2013-hdp,
title = "An {HDP} Model for Inducing {C}ombinatory {C}ategorial {G}rammars",
author = "Bisk, Yonatan and
Hockenmaier, Julia",
editor = "Lin, Dekang and
Collins, Michael",
journal = "Transactions of the Association for Computational Linguistics",
volume = "1",
year = "2013",
address = "Cambridge, MA",
publisher = "MIT Press",
url = "https://aclanthology.org/Q13-1007",
doi = "10.1162/tacl_a_00211",
pages = "75--88",
abstract = "We introduce a novel nonparametric Bayesian model for the induction of Combinatory Categorial Grammars from POS-tagged text. It achieves state of the art performance on a number of languages, and induces linguistically plausible lexicons.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="bisk-hockenmaier-2013-hdp">
<titleInfo>
<title>An HDP Model for Inducing Combinatory Categorial Grammars</title>
</titleInfo>
<name type="personal">
<namePart type="given">Yonatan</namePart>
<namePart type="family">Bisk</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Julia</namePart>
<namePart type="family">Hockenmaier</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2013</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<genre authority="bibutilsgt">journal article</genre>
<relatedItem type="host">
<titleInfo>
<title>Transactions of the Association for Computational Linguistics</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>MIT Press</publisher>
<place>
<placeTerm type="text">Cambridge, MA</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>We introduce a novel nonparametric Bayesian model for the induction of Combinatory Categorial Grammars from POS-tagged text. It achieves state of the art performance on a number of languages, and induces linguistically plausible lexicons.</abstract>
<identifier type="citekey">bisk-hockenmaier-2013-hdp</identifier>
<identifier type="doi">10.1162/tacl_a_00211</identifier>
<location>
<url>https://aclanthology.org/Q13-1007</url>
</location>
<part>
<date>2013</date>
<detail type="volume"><number>1</number></detail>
<extent unit="page">
<start>75</start>
<end>88</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Journal Article
%T An HDP Model for Inducing Combinatory Categorial Grammars
%A Bisk, Yonatan
%A Hockenmaier, Julia
%J Transactions of the Association for Computational Linguistics
%D 2013
%V 1
%I MIT Press
%C Cambridge, MA
%F bisk-hockenmaier-2013-hdp
%X We introduce a novel nonparametric Bayesian model for the induction of Combinatory Categorial Grammars from POS-tagged text. It achieves state of the art performance on a number of languages, and induces linguistically plausible lexicons.
%R 10.1162/tacl_a_00211
%U https://aclanthology.org/Q13-1007
%U https://doi.org/10.1162/tacl_a_00211
%P 75-88
Markdown (Informal)
[An HDP Model for Inducing Combinatory Categorial Grammars](https://aclanthology.org/Q13-1007) (Bisk & Hockenmaier, TACL 2013)
ACL