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Better Summarization Evaluation with Word Embeddings for ROUGE
Jun-Ping Ng
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Viktoria Abrecht
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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?
Christophe Servan
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Alexandre Bérard
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Zied Elloumi
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Hervé Blanchon
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Laurent Besacier
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A Graph-theoretic Summary Evaluation for ROUGE
Elaheh ShafieiBavani
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Mohammad Ebrahimi
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Raymond Wong
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Fang Chen
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SSAS: Semantic Similarity for Abstractive Summarization
Raghuram Vadapalli
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Litton J Kurisinkel
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Manish Gupta
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Vasudeva Varma
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Pruning Basic Elements for Better Automatic Evaluation of Summaries
Ukyo Honda
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Tsutomu Hirao
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Masaaki Nagata
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Learning to Score System Summaries for Better Content Selection Evaluation.
Maxime Peyrard
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Teresa Botschen
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Iryna Gurevych
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https://github.com/ng-j-p/rouge-we
https://drive.google.com/file/d/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Summarization
Paraphrasing
Language
English
Dataset
News
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