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IUI
2011
ACM
14 years 9 months ago
Predicting and compensating for lexicon access errors
Learning a foreign language is a long, error-prone process, and much of a learner’s time is effectively spent studying vocabulary. Many errors occur because words are only partl...
Lars Yencken, Timothy Baldwin
ACL
2012
13 years 9 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
WWW
2009
ACM
16 years 7 months ago
Discovering users' specific geo intention in web search
Discovering users' specific and implicit geographic intention in web search can greatly help satisfy users' information needs. We build a geo intent analysis system that...
Xing Yi, Hema Raghavan, Chris Leggetter
TABLEAUX
2005
Springer
16 years 20 hour ago
A Tableau-Based Explainer for DL Subsumption
This paper describes the implementation of a tableau-based reasoning component which is capable of providing quasi natural language explanations for subsumptions within ALEHFR+ TBo...
Thorsten Liebig, Michael Halfmann
IUI
2004
ACM
15 years 12 months ago
What would they think?: a computational model of attitudes
A key to improving at any task is frequent feedback from people whose opinions we care about: our family, friends, mentors, and the experts. However, such input is not usually ava...
Hugo Liu, Pattie Maes