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ICGI
2004
Springer
14 years 1 months ago
Identifying Clusters from Positive Data
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
John Case, Sanjay Jain, Eric Martin, Arun Sharma, ...
CIKM
2009
Springer
13 years 11 months ago
Terminology mining in social media
The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other u...
Magnus Sahlgren, Jussi Karlgren
EMNLP
2006
13 years 9 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
SFM
2004
Springer
118views Formal Methods» more  SFM 2004»
14 years 29 days ago
On the Semantic Foundations of Standard UML 2.0
This paper provides an overview of the foundations of the run-time semantics underlying the Unified Modeling Language as defined in revision 2.0 of the official OMG standard. One o...
Bran Selic
JMLR
2011
105views more  JMLR 2011»
13 years 2 months ago
Posterior Sparsity in Unsupervised Dependency Parsing
A strong inductive bias is essential in unsupervised grammar induction. In this paper, we explore a particular sparsity bias in dependency grammars that encourages a small number ...
Jennifer Gillenwater, Kuzman Ganchev, João ...