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Automatically Evaluating Content Selection in Summarization without Human Models
Annie Louis
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Ani Nenkova
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Paper Details:
Month: August
Year: 2009
Location: Singapore
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Learning Summary Content Units with Topic Modeling
Leonhard Hennig
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Ernesto William De Luca
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Sahin Albayrak
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Multilingual Summarization Evaluation without Human Models
Horacio Saggion
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Juan-Manuel Torres-Moreno
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Iria da Cunha
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Eric SanJuan
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Patricia Velázquez-Morales
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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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Summarize What You Are Interested In: An Optimization Framework for Interactive Personalized Summarization
Rui Yan
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Jian-Yun Nie
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Xiaoming Li
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Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach
Tengfei Ma
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Hiroshi Nakagawa
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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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Automatically Assessing Machine Summary Content Without a Gold Standard
Annie Louis
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Ani Nenkova
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PyrEval: An Automated Method for Summary Content Analysis
Yanjun Gao
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Andrew Warner
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Rebecca Passonneau
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Helpfulness-Guided Review Summarization
Wenting Xiong
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Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain
Jackie Chi Kit Cheung
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Gerald Penn
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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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Unsupervised extractive summarization via coverage maximization with syntactic and semantic concepts
Natalie Schluter
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Anders Søgaard
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An Evolutionary Algorithm for Automatic Summarization
Aurélien Bossard
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Christophe Rodrigues
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Summarizing World Speak : A Preliminary Graph Based Approach
Nikhil Londhe
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Rohini Srihari
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CONE: Metrics for Automatic Evaluation of Named Entity Co-Reference Resolution
Bo Lin
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Rushin Shah
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Robert Frederking
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Anatole Gershman
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Vector Space Models for Scientific Document Summarization
John Conroy
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Sashka Davis
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http://www.nist.gov/tac
Field Of Study
Task
Summarization
Language
English
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