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» Learning probabilistic models of the Web
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WSDM
2010
ACM
213views Data Mining» more  WSDM 2010»
16 years 3 months ago
Corroborating Information from Disagreeing Views
We consider a set of views stating possibly conflicting facts. Negative facts in the views may come, e.g., from functional dependencies in the underlying database schema. We want ...
Alban Galland, Serge Abiteboul, Amélie Mari...
COLT
2004
Springer
15 years 11 months ago
Graphical Economics
: We introduce a graph-theoretic generalization of classical Arrow-Debreu economics, in which an undirected graph specifies which consumers or economies are permitted to engage in...
Sham Kakade, Michael J. Kearns, Luis E. Ortiz
ACL
2009
15 years 4 months ago
Unsupervised Multilingual Grammar Induction
We investigate the task of unsupervised constituency parsing from bilingual parallel corpora. Our goal is to use bilingual cues to learn improved parsing models for each language ...
Benjamin Snyder, Tahira Naseem, Regina Barzilay
ACL
2007
15 years 7 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
WOA
2007
15 years 7 months ago
Declarative representation of curricula models: an LTL- and UML-based approach
Abstract—In this work, we present a constrained-based representation for specifying the goals of “course design”, that we call curricula model, and introduce a graphical lang...
Matteo Baldoni, Cristina Baroglio, Giuseppe Berio,...