Please use this identifier to cite or link to this item:
Volltext verfügbar? / Dokumentlieferung
doi:10.22028/D291-30470
Title: | Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task |
Author(s): | Yung, Frances Pikyu Demberg, Vera Scholman, Merel Cleo Johanna |
Editor(s): | Friedrich, Annemarie Zeyrek, Deniz Hoek, Jet |
Language: | English |
Title: | The 13th Linguistic Annotation Workshop - proceedings of the workshop : August 1, 2019, Florence, Italy : LAW XIII |
Startpage: | 16 |
Endpage: | 25 |
Publisher/Platform: | ACL |
Year of Publication: | 2019 |
Place of publication: | Stroudsburg, PA |
Title of the Conference: | LAW XIII 2019 |
Place of the conference: | Florence, Italy |
Publikation type: | Conference Paper |
Abstract: | The perspective of being able to crowd-source coherence relations bears the promise of acquiring annotations for new texts quickly, which could then increase the size and variety of discourse-annotated corpora. It would also open the avenue to answering new research questions: Collecting annotations from a larger number of individuals per instance would allow to investigate the distribution of inferred relations, and to study individual differences in coherence relation interpretation. However, annotating coherence relations with untrained workers is not trivial. We here propose a novel two-step annotation procedure, which extends an earlier method by Scholman and Demberg (2017a). In our approach, coherence relation labels are inferred from connectives that workers insert into the text. We show that the proposed method leads to replicable coherence annotations, and analyse the agreement between the obtained relation labels and annotations from PDTB and RSTDT on the same texts. |
DOI of the first publication: | 10.18653/v1/W19-4003 |
URL of the first publication: | https://www.aclweb.org/anthology/W19-4003/ |
Link to this record: | hdl:20.500.11880/28861 http://dx.doi.org/10.22028/D291-30470 |
ISBN: | 978-1-950737-38-3 |
Date of registration: | 12-Mar-2020 |
Faculty: | MI - Fakultät für Mathematik und Informatik |
Department: | MI - Informatik |
Professorship: | MI - Prof. Dr. Vera Demberg |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
There are no files associated with this item.
Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.