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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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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
WS |
Citations
URL
Evaluating Multiple System Summary Lengths: A Case Study
Ori Shapira
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David Gabay
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Hadar Ronen
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Judit Bar-Ilan
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Yael Amsterdamer
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Ani Nenkova
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Ido Dagan
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Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
Maxime Peyrard
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Iryna Gurevych
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http://tac.nist.gov/2009/
http://tac.nist.gov/2008/
https://github.com/UKPLab/
https://github.com/UKPLab/emnlp-ws-2017-s3
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Summarization
Language
English
Dataset
News
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