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doi:10.22028/D291-30970
Title: | Learning distributed event representations with a multi-task approach |
Author(s): | Hong, Xudong Sayeed, Asad Demberg, Vera |
Editor(s): | Nissim, Malvina Berant, Jonathan Lenci, Alessandro |
Language: | English |
Title: | Lexical and Computational Semantics (*SEM 2018) - proceedings of the 7th conference : June 5-6, 2018, New Orleans : NAACL HLT 2018 |
Startpage: | 11 |
Endpage: | 21 |
Publisher/Platform: | ACL |
Year of Publication: | 2018 |
Place of publication: | Stroudsburg, PA |
Title of the Conference: | NAACL-HLT 2018 |
Place of the conference: | New Orleans, Louisiana, USA |
Publikation type: | Conference Paper |
Abstract: | Human world knowledge contains information about prototypical events and their participants and locations. In this paper, we train the first models using multi-task learning that can both predict missing event participants and also perform semantic role classification based on semantic plausibility. Our best-performing model is an improvement over the previous state-of-the-art on thematic fit modelling tasks. The event embeddings learned by the model can additionally be used effectively in an event similarity task, also outperforming the state-of-the-art. |
DOI of the first publication: | 10.18653/v1/S18-2002 |
URL of the first publication: | https://www.aclweb.org/anthology/S18-2002/ |
Link to this record: | hdl:20.500.11880/29720 http://dx.doi.org/10.22028/D291-30970 |
ISBN: | 978-1-948087-22-3 |
Date of registration: | 23-Sep-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 |
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