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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Zhao, Wei and Peyrard, Maxime and Liu, Fei and Gao, Yang and Meyer, Christian M. and Eger, Steffen (2019):
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance.
In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, Stroudsburg, PA, USA, Association for Computational Linguistics, In: The 2018 Conference on Empirical Methods in Natural Language Processing, Hong Kong, China, 03.11.2019--07.11.2019, [Conference or Workshop Item]

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Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Zhao, Wei and Peyrard, Maxime and Liu, Fei and Gao, Yang and Meyer, Christian M. and Eger, Steffen
Title: MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
Language: English
Title of Book: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing
Place of Publication: Stroudsburg, PA, USA
Publisher: Association for Computational Linguistics
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Title: The 2018 Conference on Empirical Methods in Natural Language Processing
Event Location: Hong Kong, China
Event Dates: 03.11.2019--07.11.2019
Date Deposited: 15 Aug 2019 11:42
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