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AAAI
1998
13 years 6 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce
COLING
2002
13 years 5 months ago
A Novel Disambiguation Method for Unification-Based Grammars Using Probabilistic Context-Free Approximations
We present a novel disambiguation method for unification-based grammars (UBGs). In contrast to other methods, our approach obviates the need for probability models on the UBG side...
Bernd Kiefer, Hans-Ulrich Krieger, Detlef Prescher
JMLR
2010
137views more  JMLR 2010»
13 years 4 days ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith
WWW
2007
ACM
14 years 6 months ago
Generative models for name disambiguation
Name ambiguity is a special case of identity uncertainty where one person can be referenced by multiple name variations in different situations or even share the same name with ot...
Yang Song, Jian Huang 0002, Isaac G. Councill, Jia...
INFOSCALE
2007
ACM
13 years 6 months ago
Citation data clustering for author name disambiguation
In this paper, we propose a new method of citation data clustering for author name disambiguation. Most citation data appearing in the reference section of scientific papers incl...
Tomonari Masada, Atsuhiro Takasu, Jun Adachi