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UAI
2004
15 years 5 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
ACL
2011
14 years 8 months ago
Event Extraction as Dependency Parsing
Nested event structures are a common occurrence in both open domain and domain specific extraction tasks, e.g., a “crime” event can cause a “investigation” event, which c...
David McClosky, Mihai Surdeanu, Christopher D. Man...
EMNLP
2008
15 years 6 months ago
Triplet Lexicon Models for Statistical Machine Translation
This paper describes a lexical trigger model for statistical machine translation. We present various methods using triplets incorporating long-distance dependencies that can go be...
Sasa Hasan, Juri Ganitkevitch, Hermann Ney, Jes&ua...
ESAW
2000
Springer
15 years 8 months ago
Context-Dependency in Internet-Agent Coordination
The design and development of Internet applications can take advantage of a paradigm based on autonomous and mobile agents. However, agent mobility introduces peculiar coordinatio...
Giacomo Cabri, Letizia Leonardi, Franco Zambonelli
ACL
2006
15 years 5 months ago
Minimum Cut Model for Spoken Lecture Segmentation
We consider the task of unsupervised lecture segmentation. We formalize segmentation as a graph-partitioning task that optimizes the normalized cut criterion. Our approach moves b...
Igor Malioutov, Regina Barzilay