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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: The 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, China, 03.11.2019-07.11.2019, [Online-Edition: https://public.ukp.informatik.tu-darmstadt.de/UKP_Webpage/pu...],
[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
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 2019 Conference on Empirical Methods in Natural Language Processing
Event Location: Hong Kong, China
Event Dates: 03.11.2019-07.11.2019
Date Deposited: 11 Sep 2019 12:13
Official URL: https://public.ukp.informatik.tu-darmstadt.de/UKP_Webpage/pu...
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