@inproceedings{antoine-etal-2023-exploring,
title = "Exploring Social Sciences Archives with Explainable Document Linkage through Question Generation",
author = {Antoine, Elie and
Kang, Hyun Jung and
Rousseau, Isma{\"e}l and
Az{\'e}mard, Ghislaine and
Bechet, Frederic and
Damnati, Geraldine},
editor = "Degaetano-Ortlieb, Stefania and
Kazantseva, Anna and
Reiter, Nils and
Szpakowicz, Stan",
booktitle = "Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.latechclfl-1.16",
doi = "10.18653/v1/2023.latechclfl-1.16",
pages = "141--151",
abstract = "This paper proposes a new approach for exploring digitized humanities and social sciences collections based on explainable links built from questions. Our experiments show the quality of our automatically generated questions and their relevance in a local context as well as the originality of the links produced by embeddings based on these questions. Analyses have also been performed to understand the types of questions generated on our corpus, and the related uses that can enrich the exploration. The relationships between the co-references and the questions generated, and the answers extracted from the text were also discussed and open a path for future improvements for our system in their resolution.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="antoine-etal-2023-exploring">
<titleInfo>
<title>Exploring Social Sciences Archives with Explainable Document Linkage through Question Generation</title>
</titleInfo>
<name type="personal">
<namePart type="given">Elie</namePart>
<namePart type="family">Antoine</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hyun</namePart>
<namePart type="given">Jung</namePart>
<namePart type="family">Kang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ismaël</namePart>
<namePart type="family">Rousseau</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ghislaine</namePart>
<namePart type="family">Azémard</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Frederic</namePart>
<namePart type="family">Bechet</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Geraldine</namePart>
<namePart type="family">Damnati</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2023-05</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature</title>
</titleInfo>
<name type="personal">
<namePart type="given">Stefania</namePart>
<namePart type="family">Degaetano-Ortlieb</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Anna</namePart>
<namePart type="family">Kazantseva</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Nils</namePart>
<namePart type="family">Reiter</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Stan</namePart>
<namePart type="family">Szpakowicz</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Dubrovnik, Croatia</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This paper proposes a new approach for exploring digitized humanities and social sciences collections based on explainable links built from questions. Our experiments show the quality of our automatically generated questions and their relevance in a local context as well as the originality of the links produced by embeddings based on these questions. Analyses have also been performed to understand the types of questions generated on our corpus, and the related uses that can enrich the exploration. The relationships between the co-references and the questions generated, and the answers extracted from the text were also discussed and open a path for future improvements for our system in their resolution.</abstract>
<identifier type="citekey">antoine-etal-2023-exploring</identifier>
<identifier type="doi">10.18653/v1/2023.latechclfl-1.16</identifier>
<location>
<url>https://aclanthology.org/2023.latechclfl-1.16</url>
</location>
<part>
<date>2023-05</date>
<extent unit="page">
<start>141</start>
<end>151</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Exploring Social Sciences Archives with Explainable Document Linkage through Question Generation
%A Antoine, Elie
%A Kang, Hyun Jung
%A Rousseau, Ismaël
%A Azémard, Ghislaine
%A Bechet, Frederic
%A Damnati, Geraldine
%Y Degaetano-Ortlieb, Stefania
%Y Kazantseva, Anna
%Y Reiter, Nils
%Y Szpakowicz, Stan
%S Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F antoine-etal-2023-exploring
%X This paper proposes a new approach for exploring digitized humanities and social sciences collections based on explainable links built from questions. Our experiments show the quality of our automatically generated questions and their relevance in a local context as well as the originality of the links produced by embeddings based on these questions. Analyses have also been performed to understand the types of questions generated on our corpus, and the related uses that can enrich the exploration. The relationships between the co-references and the questions generated, and the answers extracted from the text were also discussed and open a path for future improvements for our system in their resolution.
%R 10.18653/v1/2023.latechclfl-1.16
%U https://aclanthology.org/2023.latechclfl-1.16
%U https://doi.org/10.18653/v1/2023.latechclfl-1.16
%P 141-151
Markdown (Informal)
[Exploring Social Sciences Archives with Explainable Document Linkage through Question Generation](https://aclanthology.org/2023.latechclfl-1.16) (Antoine et al., LaTeCHCLfL 2023)
ACL
- Elie Antoine, Hyun Jung Kang, Ismaël Rousseau, Ghislaine Azémard, Frederic Bechet, and Geraldine Damnati. 2023. Exploring Social Sciences Archives with Explainable Document Linkage through Question Generation. In Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 141–151, Dubrovnik, Croatia. Association for Computational Linguistics.