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» An Experimental Evaluation of the New OpenMP Tasking Model
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IUI
2006
ACM
15 years 7 months ago
Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments
In this paper we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during the interaction with an intelligent learning environmen...
Christina Merten, Cristina Conati
ACL
2011
14 years 5 months ago
A Bayesian Model for Unsupervised Semantic Parsing
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
Ivan Titov, Alexandre Klementiev
154
Voted
MT
2007
100views more  MT 2007»
15 years 1 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
EMNLP
2007
15 years 2 months ago
Semi-Markov Models for Sequence Segmentation
In this paper, we study the problem of automatically segmenting written text into paragraphs. This is inherently a sequence labeling problem, however, previous approaches ignore t...
Qinfeng Shi, Yasemin Altun, Alex J. Smola, S. V. N...
DEXAW
2010
IEEE
196views Database» more  DEXAW 2010»
15 years 1 months ago
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
Ósscar Alejo, Juan M. Fernández-Luna...