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Automatically Assessing Machine Summary Content Without a Gold Standard
Annie Louis
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Ani Nenkova
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Paper Details:
Year: 2013
Venue:
CL |
Citations
URL
Query-Focused Opinion Summarization for User-Generated Content
Lu Wang
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Hema Raghavan
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Claire Cardie
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Vittorio Castelli
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Quality Estimation for Automatic Speech Recognition
Matteo Negri
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Marco Turchi
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José G. C. de Souza
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Daniele Falavigna
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A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence
Maxime Peyrard
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Judith Eckle-Kohler
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Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings
Elaheh ShafieiBavani
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Mohammad Ebrahimi
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Raymond Wong
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Fang Chen
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Document Summarization via Guided Sentence Compression
Chen Li
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Fei Liu
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Fuliang Weng
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Yang Liu
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A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task
Maria Liakata
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Simon Dobnik
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Shyamasree Saha
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Colin Batchelor
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Dietrich Rebholz-Schuhmann
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System Combination for Multi-document Summarization
Kai Hong
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Mitchell Marcus
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Ani Nenkova
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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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A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization
Kai Hong
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John Conroy
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Benoit Favre
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Alex Kulesza
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Hui Lin
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Ani Nenkova
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Discourse and Document-level Information for Evaluating Language Output Tasks
Carolina Scarton
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Estimating Summary Quality with Pairwise Preferences
Markus Zopf
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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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A Decade of Automatic Content Evaluation of News Summaries: Reassessing the State of the Art
Peter A. Rankel
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John M. Conroy
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Hoa Trang Dang
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Ani Nenkova
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Automatic Labelling of Topic Models Learned from Twitter by Summarisation
Amparo Elizabeth Cano Basave
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Yulan He
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Ruifeng Xu
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Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization
Maxime Peyrard
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Judith Eckle-Kohler
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A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments
Maxime Peyrard
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Judith Eckle-Kohler
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Multi-document multilingual summarization corpus preparation, Part 1: Arabic, English, Greek, Chinese, Romanian
Lei Li
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Corina Forascu
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Mahmoud El-Haj
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George Giannakopoulos
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Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish
Michael Elhadad
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Sabino Miranda-Jiménez
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Josef Steinberger
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George Giannakopoulos
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Multi-document multilingual summarization and evaluation tracks in ACL 2013 MultiLing Workshop
George Giannakopoulos
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Automatic evaluation of spoken summaries: the case of language assessment
Anastassia Loukina
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Klaus Zechner
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Lei Chen
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Exploring Consensus in Machine Translation for Quality Estimation
Carolina Scarton
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Lucia Specia
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Machine Learning Approach to Evaluate MultiLingual Summaries
Samira Ellouze
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Maher Jaoua
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Lamia Hadrich Belguith
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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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http://www.seas.upenn.edu/lannie/IEval2.html
http://www.nist.gov/tac/
http://duc.nist.gov/
http://www.nist.gov/tac/2009/Summarization/update.summ.09.guidelines.html
http://www.seas.upenn.edu/lannie/IEval2.html
http://duc.nist.gov/pubs/2004papers/
http://www.nist.gov/tac/publications/
http://www.nist.gov/tac/publications/
http://www.nist.gov/tac/publications/
http://www-nlpir.nist
Field Of Study
Task
Information Retrieval
Summarization
Machine Translation
Approach
Generative Model
Language
Chinese
Dataset
News
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