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» Enhancing Commitment Machines
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COLING
1994
13 years 11 months ago
TGE: Tlinks Generation Environment
This paper describes the enhancements made, within a unification framework, based on typed feature structures, in order to support linking of lexical entries to their translation ...
Alicia Ageno, Francesc Ribas, German Rigau, Horaci...
AIIDE
2009
13 years 11 months ago
Supporting Dialogue Generation for Story-Based Games
Providing compelling, realistic, immersive game worlds is one of the major goals in modern game design. The presence of unique and interesting dialogue for all of the characters i...
Christopher Michael Kerr, Duane Szafron
BMCBI
2010
133views more  BMCBI 2010»
13 years 10 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
SIGSOFT
2005
ACM
14 years 11 months ago
Facilitating software evolution research with kenyon
Software evolution research inherently has several resourceintensive logistical constraints. Archived project artifacts, such as those found in source code repositories and bug tr...
Jennifer Bevan, E. James Whitehead Jr., Sunghun Ki...
TCC
2009
Springer
141views Cryptology» more  TCC 2009»
14 years 10 months ago
Weak Verifiable Random Functions
Verifiable random functions (VRFs), introduced by Micali, Rabin and Vadhan, are pseudorandom functions in which the owner of the seed produces a public-key that constitutes a commi...
Zvika Brakerski, Shafi Goldwasser, Guy N. Rothblum...