@inproceedings{bourgonje-zolotarenko-2019-toward,
title = "Toward Cross-theory Discourse Relation Annotation",
author = "Bourgonje, Peter and
Zolotarenko, Olha",
editor = "Zeldes, Amir and
Das, Debopam and
Galani, Erick Maziero and
Antonio, Juliano Desiderato and
Iruskieta, Mikel",
booktitle = "Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019",
month = jun,
year = "2019",
address = "Minneapolis, MN",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-2702",
doi = "10.18653/v1/W19-2702",
pages = "7--11",
abstract = "In this exploratory study, we attempt to automatically induce PDTB-style relations from RST trees. We work with a German corpus of news commentary articles, annotated for RST trees and explicit PDTB-style relations and we focus on inducing the implicit relations in an automated way. Preliminary results look promising as a high-precision (but low-recall) way of finding implicit relations where there is no shallow structure annotated at all, but mapping proves more difficult in cases where EDUs and relation arguments overlap, yet do not seem to signal the same relation.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="bourgonje-zolotarenko-2019-toward">
<titleInfo>
<title>Toward Cross-theory Discourse Relation Annotation</title>
</titleInfo>
<name type="personal">
<namePart type="given">Peter</namePart>
<namePart type="family">Bourgonje</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Olha</namePart>
<namePart type="family">Zolotarenko</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2019-06</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019</title>
</titleInfo>
<name type="personal">
<namePart type="given">Amir</namePart>
<namePart type="family">Zeldes</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Debopam</namePart>
<namePart type="family">Das</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Erick</namePart>
<namePart type="given">Maziero</namePart>
<namePart type="family">Galani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Juliano</namePart>
<namePart type="given">Desiderato</namePart>
<namePart type="family">Antonio</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mikel</namePart>
<namePart type="family">Iruskieta</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Minneapolis, MN</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>In this exploratory study, we attempt to automatically induce PDTB-style relations from RST trees. We work with a German corpus of news commentary articles, annotated for RST trees and explicit PDTB-style relations and we focus on inducing the implicit relations in an automated way. Preliminary results look promising as a high-precision (but low-recall) way of finding implicit relations where there is no shallow structure annotated at all, but mapping proves more difficult in cases where EDUs and relation arguments overlap, yet do not seem to signal the same relation.</abstract>
<identifier type="citekey">bourgonje-zolotarenko-2019-toward</identifier>
<identifier type="doi">10.18653/v1/W19-2702</identifier>
<location>
<url>https://aclanthology.org/W19-2702</url>
</location>
<part>
<date>2019-06</date>
<extent unit="page">
<start>7</start>
<end>11</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Toward Cross-theory Discourse Relation Annotation
%A Bourgonje, Peter
%A Zolotarenko, Olha
%Y Zeldes, Amir
%Y Das, Debopam
%Y Galani, Erick Maziero
%Y Antonio, Juliano Desiderato
%Y Iruskieta, Mikel
%S Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, MN
%F bourgonje-zolotarenko-2019-toward
%X In this exploratory study, we attempt to automatically induce PDTB-style relations from RST trees. We work with a German corpus of news commentary articles, annotated for RST trees and explicit PDTB-style relations and we focus on inducing the implicit relations in an automated way. Preliminary results look promising as a high-precision (but low-recall) way of finding implicit relations where there is no shallow structure annotated at all, but mapping proves more difficult in cases where EDUs and relation arguments overlap, yet do not seem to signal the same relation.
%R 10.18653/v1/W19-2702
%U https://aclanthology.org/W19-2702
%U https://doi.org/10.18653/v1/W19-2702
%P 7-11
Markdown (Informal)
[Toward Cross-theory Discourse Relation Annotation](https://aclanthology.org/W19-2702) (Bourgonje & Zolotarenko, NAACL 2019)
ACL
- Peter Bourgonje and Olha Zolotarenko. 2019. Toward Cross-theory Discourse Relation Annotation. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 7–11, Minneapolis, MN. Association for Computational Linguistics.