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» Ranking Human and Machine Summarization Systems
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NAACL
2010
13 years 5 months ago
Predicting Human-Targeted Translation Edit Rate via Untrained Human Annotators
In the field of machine translation, automatic metrics have proven quite valuable in system development for tracking progress and measuring the impact of incremental changes. Howe...
Omar Zaidan, Chris Callison-Burch
ACL
2011
12 years 11 months ago
Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice
We analyze collective discourse, a collective human behavior in content generation, and show that it exhibits diversity, a property of general collective systems. Using extensive ...
Vahed Qazvinian, Dragomir R. Radev
SIGDOC
2004
ACM
14 years 26 days ago
Semantic thumbnails: a novel method for summarizing document collections
The concept of thumbnails is common in image representation. A thumbnail is a highly compressed version of an image that provides a small, yet complete visual representation to th...
Arijit Sengupta, Mehmet M. Dalkilic, James C. Cost...
COLING
2010
13 years 2 months ago
Integrating N-best SMT Outputs into a TM System
In this paper, we propose a novel framework to enrich Translation Memory (TM) systems with Statistical Machine Translation (SMT) outputs using ranking. In order to offer the human...
Yifan He, Yanjun Ma, Andy Way, Josef van Genabith
IJCNN
2007
IEEE
14 years 1 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...