@inproceedings{alonso-reina-etal-2019-team,
title = "Team {GPLSI}. Approach for automated fact checking",
author = "Alonso-Reina, Aim{\'e}e and
Sep{\'u}lveda-Torres, Robiert and
Saquete, Estela and
Palomar, Manuel",
editor = "Thorne, James and
Vlachos, Andreas and
Cocarascu, Oana and
Christodoulopoulos, Christos and
Mittal, Arpit",
booktitle = "Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-6617",
doi = "10.18653/v1/D19-6617",
pages = "110--114",
abstract = "Fever Shared 2.0 Task is a challenge meant for developing automated fact checking systems. Our approach for the Fever 2.0 is based on a previous proposal developed by Team Athene UKP TU Darmstadt. Our proposal modifies the sentence retrieval phase, using statement extraction and representation in the form of triplets (subject, object, action). Triplets are extracted from the claim and compare to triplets extracted from Wikipedia articles using semantic similarity. Our results are satisfactory but there is room for improvement.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="alonso-reina-etal-2019-team">
<titleInfo>
<title>Team GPLSI. Approach for automated fact checking</title>
</titleInfo>
<name type="personal">
<namePart type="given">Aimée</namePart>
<namePart type="family">Alonso-Reina</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Robiert</namePart>
<namePart type="family">Sepúlveda-Torres</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Estela</namePart>
<namePart type="family">Saquete</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Manuel</namePart>
<namePart type="family">Palomar</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2019-11</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)</title>
</titleInfo>
<name type="personal">
<namePart type="given">James</namePart>
<namePart type="family">Thorne</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andreas</namePart>
<namePart type="family">Vlachos</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Oana</namePart>
<namePart type="family">Cocarascu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Christos</namePart>
<namePart type="family">Christodoulopoulos</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Arpit</namePart>
<namePart type="family">Mittal</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Hong Kong, China</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Fever Shared 2.0 Task is a challenge meant for developing automated fact checking systems. Our approach for the Fever 2.0 is based on a previous proposal developed by Team Athene UKP TU Darmstadt. Our proposal modifies the sentence retrieval phase, using statement extraction and representation in the form of triplets (subject, object, action). Triplets are extracted from the claim and compare to triplets extracted from Wikipedia articles using semantic similarity. Our results are satisfactory but there is room for improvement.</abstract>
<identifier type="citekey">alonso-reina-etal-2019-team</identifier>
<identifier type="doi">10.18653/v1/D19-6617</identifier>
<location>
<url>https://aclanthology.org/D19-6617</url>
</location>
<part>
<date>2019-11</date>
<extent unit="page">
<start>110</start>
<end>114</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Team GPLSI. Approach for automated fact checking
%A Alonso-Reina, Aimée
%A Sepúlveda-Torres, Robiert
%A Saquete, Estela
%A Palomar, Manuel
%Y Thorne, James
%Y Vlachos, Andreas
%Y Cocarascu, Oana
%Y Christodoulopoulos, Christos
%Y Mittal, Arpit
%S Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F alonso-reina-etal-2019-team
%X Fever Shared 2.0 Task is a challenge meant for developing automated fact checking systems. Our approach for the Fever 2.0 is based on a previous proposal developed by Team Athene UKP TU Darmstadt. Our proposal modifies the sentence retrieval phase, using statement extraction and representation in the form of triplets (subject, object, action). Triplets are extracted from the claim and compare to triplets extracted from Wikipedia articles using semantic similarity. Our results are satisfactory but there is room for improvement.
%R 10.18653/v1/D19-6617
%U https://aclanthology.org/D19-6617
%U https://doi.org/10.18653/v1/D19-6617
%P 110-114
Markdown (Informal)
[Team GPLSI. Approach for automated fact checking](https://aclanthology.org/D19-6617) (Alonso-Reina et al., 2019)
ACL
- Aimée Alonso-Reina, Robiert Sepúlveda-Torres, Estela Saquete, and Manuel Palomar. 2019. Team GPLSI. Approach for automated fact checking. In Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER), pages 110–114, Hong Kong, China. Association for Computational Linguistics.