TY - GEN
T1 - GENE
T2 - 15th Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs 2021
AU - Zeng, Qi
AU - Li, Manling
AU - Lai, Tuan
AU - Ji, Heng
AU - Bansal, Mohit
AU - Tong, Hanghang
N1 - Publisher Copyright:
© 2021 Association for Computational Linguistics.
PY - 2021
Y1 - 2021
N2 - Current methods for event representation ignore related events in a corpus-level global context. For a deep and comprehensive understanding of complex events, we introduce a new task, Event Network Embedding, which aims to represent events by capturing the connections among events. We propose a novel framework, Global Event Network Embedding (GENE), that encodes the event network with a multi-view graph encoder while preserving the graph topology and node semantics. The graph encoder is trained by minimizing both structural and semantic losses. We develop a new series of structured probing tasks, and show that our approach effectively outperforms baseline models on node typing, argument role classification, and event coreference resolution.
AB - Current methods for event representation ignore related events in a corpus-level global context. For a deep and comprehensive understanding of complex events, we introduce a new task, Event Network Embedding, which aims to represent events by capturing the connections among events. We propose a novel framework, Global Event Network Embedding (GENE), that encodes the event network with a multi-view graph encoder while preserving the graph topology and node semantics. The graph encoder is trained by minimizing both structural and semantic losses. We develop a new series of structured probing tasks, and show that our approach effectively outperforms baseline models on node typing, argument role classification, and event coreference resolution.
UR - http://www.scopus.com/inward/record.url?scp=85129137213&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85129137213&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85129137213
T3 - TextGraphs 2021 - Graph-Based Methods for Natural Language Processing, Proceedings of the 15th Workshop - in conjunction with the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL 2021
SP - 42
EP - 53
BT - TextGraphs 2021 - Graph-Based Methods for Natural Language Processing, Proceedings of the 15th Workshop - in conjunction with the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL 2021
A2 - Panchenko, Alexander
A2 - Malliaros, Fragkiskos D.
A2 - Logacheva, Varvara
A2 - Jana, Abhik
A2 - Ustalov, Dmitry
A2 - Jansen, Peter
PB - Association for Computational Linguistics (ACL)
Y2 - 11 June 2021
ER -