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» Evaluating and Combining Approaches to Selectional Preferenc...
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81
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COGSCI
2002
108views more  COGSCI 2002»
14 years 11 months ago
Statistical models for the induction and use of selectional preferences
Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
Marc Light, Warren R. Greiff
99
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VLDB
2004
ACM
134views Database» more  VLDB 2004»
15 years 5 months ago
Model-Driven Data Acquisition in Sensor Networks
Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. The metaphor that “the sensornet is a database” is problematic,...
Amol Deshpande, Carlos Guestrin, Samuel Madden, Jo...
EMNLP
2008
15 years 1 months ago
Discriminative Learning of Selectional Preference from Unlabeled Text
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
Shane Bergsma, Dekang Lin, Randy Goebel
93
Voted
NLE
2010
112views more  NLE 2010»
14 years 10 months ago
A non-negative tensor factorization model for selectional preference induction
Distributional similarity methods have proven to be a valuable tool for the induction of semantic similarity. Up till now, most algorithms use two-way cooccurrence data to compute...
Tim Van de Cruys
CORR
2006
Springer
143views Education» more  CORR 2006»
14 years 11 months ago
A Knowledge-Based Approach for Selecting Information Sources
Through the Internet and the World-Wide Web, a vast number of information sources has become available, which offer information on various subjects by different providers, often i...
Thomas Eiter, Michael Fink, Hans Tompits