@inproceedings{johansson-etal-2012-semantic,
title = "Semantic Role Labeling with the {S}wedish {F}rame{N}et",
author = "Johansson, Richard and
Heppin, Karin Friberg and
Kokkinakis, Dimitrios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/455_Paper.pdf",
pages = "3697--3700",
abstract = "We present the first results on semantic role labeling using the Swedish FrameNet, which is a lexical resource currently in development. Several aspects of the task are investigated, including the {\%}design and selection of machine learning features, the effect of choice of syntactic parser, and the ability of the system to generalize to new frames and new genres. In addition, we evaluate two methods to make the role label classifier more robust: cross-frame generalization and cluster-based features. Although the small amount of training data limits the performance achievable at the moment, we reach promising results. In particular, the classifier that extracts the boundaries of arguments works well for new frames, which suggests that it already at this stage can be useful in a semi-automatic setting.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="johansson-etal-2012-semantic">
<titleInfo>
<title>Semantic Role Labeling with the Swedish FrameNet</title>
</titleInfo>
<name type="personal">
<namePart type="given">Richard</namePart>
<namePart type="family">Johansson</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Karin</namePart>
<namePart type="given">Friberg</namePart>
<namePart type="family">Heppin</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Dimitrios</namePart>
<namePart type="family">Kokkinakis</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2012-may</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)</title>
</titleInfo>
<originInfo>
<publisher>European Language Resources Association (ELRA)</publisher>
<place>
<placeTerm type="text">Istanbul, Turkey</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>We present the first results on semantic role labeling using the Swedish FrameNet, which is a lexical resource currently in development. Several aspects of the task are investigated, including the %design and selection of machine learning features, the effect of choice of syntactic parser, and the ability of the system to generalize to new frames and new genres. In addition, we evaluate two methods to make the role label classifier more robust: cross-frame generalization and cluster-based features. Although the small amount of training data limits the performance achievable at the moment, we reach promising results. In particular, the classifier that extracts the boundaries of arguments works well for new frames, which suggests that it already at this stage can be useful in a semi-automatic setting.</abstract>
<identifier type="citekey">johansson-etal-2012-semantic</identifier>
<location>
<url>http://www.lrec-conf.org/proceedings/lrec2012/pdf/455_Paper.pdf</url>
</location>
<part>
<date>2012-may</date>
<extent unit="page">
<start>3697</start>
<end>3700</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Semantic Role Labeling with the Swedish FrameNet
%A Johansson, Richard
%A Heppin, Karin Friberg
%A Kokkinakis, Dimitrios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 may
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F johansson-etal-2012-semantic
%X We present the first results on semantic role labeling using the Swedish FrameNet, which is a lexical resource currently in development. Several aspects of the task are investigated, including the %design and selection of machine learning features, the effect of choice of syntactic parser, and the ability of the system to generalize to new frames and new genres. In addition, we evaluate two methods to make the role label classifier more robust: cross-frame generalization and cluster-based features. Although the small amount of training data limits the performance achievable at the moment, we reach promising results. In particular, the classifier that extracts the boundaries of arguments works well for new frames, which suggests that it already at this stage can be useful in a semi-automatic setting.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/455_Paper.pdf
%P 3697-3700
Markdown (Informal)
[Semantic Role Labeling with the Swedish FrameNet](http://www.lrec-conf.org/proceedings/lrec2012/pdf/455_Paper.pdf) (Johansson et al., LREC 2012)
ACL
- Richard Johansson, Karin Friberg Heppin, and Dimitrios Kokkinakis. 2012. Semantic Role Labeling with the Swedish FrameNet. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3697–3700, Istanbul, Turkey. European Language Resources Association (ELRA).