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ACL
2010
15 years 3 months ago
Optimizing Informativeness and Readability for Sentiment Summarization
We propose a novel algorithm for sentiment summarization that takes account of informativeness and readability, simultaneously. Our algorithm generates a summary by selecting and ...
Hitoshi Nishikawa, Takaaki Hasegawa, Yoshihiro Mat...
NAACL
2010
15 years 3 months ago
Improving Phrase-Based Translation with Prototypes of Short Phrases
We investigate methods of generating additional bilingual phrase pairs for a phrasebased decoder by translating short sequences of source text. Because our translation task is mor...
Frank Liberato, Behrang Mohit, Rebecca Hwa
EMNLP
2009
15 years 2 months ago
Matching Reviews to Objects using a Language Model
We develop a general method to match unstructured text reviews to a structured list of objects. For this, we propose a language model for generating reviews that incorporates a de...
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Andrew Tomki...
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 2 days ago
Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse da...
Thomas W. Kelsey, W. Hamish B. Wallace
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 10 months ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura