@inproceedings{caselli-etal-2014-enriching,
title = "Enriching the {``}Senso Comune{''} Platform with Automatically Acquired Data",
author = "Caselli, Tommaso and
Vieu, Laure and
Strapparava, Carlo and
Vetere, Guido",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/563_Paper.pdf",
pages = "2130--2137",
abstract = "This paper reports on research activities on automatic methods for the enrichment of the Senso Comune platform. At this stage of development, we will report on two tasks, namely word sense alignment with MultiWordNet and automatic acquisition of Verb Shallow Frames from sense annotated data in the MultiSemCor corpus. The results obtained are satisfying. We achieved a final F-measure of 0.64 for noun sense alignment and a F-measure of 0.47 for verb sense alignment, and an accuracy of 68{\textbackslash}{\%} on the acquisition of Verb Shallow Frames.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="caselli-etal-2014-enriching">
<titleInfo>
<title>Enriching the “Senso Comune” Platform with Automatically Acquired Data</title>
</titleInfo>
<name type="personal">
<namePart type="given">Tommaso</namePart>
<namePart type="family">Caselli</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Laure</namePart>
<namePart type="family">Vieu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Carlo</namePart>
<namePart type="family">Strapparava</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Guido</namePart>
<namePart type="family">Vetere</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2014-may</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)</title>
</titleInfo>
<originInfo>
<publisher>European Language Resources Association (ELRA)</publisher>
<place>
<placeTerm type="text">Reykjavik, Iceland</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This paper reports on research activities on automatic methods for the enrichment of the Senso Comune platform. At this stage of development, we will report on two tasks, namely word sense alignment with MultiWordNet and automatic acquisition of Verb Shallow Frames from sense annotated data in the MultiSemCor corpus. The results obtained are satisfying. We achieved a final F-measure of 0.64 for noun sense alignment and a F-measure of 0.47 for verb sense alignment, and an accuracy of 68\textbackslash% on the acquisition of Verb Shallow Frames.</abstract>
<identifier type="citekey">caselli-etal-2014-enriching</identifier>
<location>
<url>http://www.lrec-conf.org/proceedings/lrec2014/pdf/563_Paper.pdf</url>
</location>
<part>
<date>2014-may</date>
<extent unit="page">
<start>2130</start>
<end>2137</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Enriching the “Senso Comune” Platform with Automatically Acquired Data
%A Caselli, Tommaso
%A Vieu, Laure
%A Strapparava, Carlo
%A Vetere, Guido
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 may
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F caselli-etal-2014-enriching
%X This paper reports on research activities on automatic methods for the enrichment of the Senso Comune platform. At this stage of development, we will report on two tasks, namely word sense alignment with MultiWordNet and automatic acquisition of Verb Shallow Frames from sense annotated data in the MultiSemCor corpus. The results obtained are satisfying. We achieved a final F-measure of 0.64 for noun sense alignment and a F-measure of 0.47 for verb sense alignment, and an accuracy of 68\textbackslash% on the acquisition of Verb Shallow Frames.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/563_Paper.pdf
%P 2130-2137
Markdown (Informal)
[Enriching the “Senso Comune” Platform with Automatically Acquired Data](http://www.lrec-conf.org/proceedings/lrec2014/pdf/563_Paper.pdf) (Caselli et al., LREC 2014)
ACL