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IJCNLP
2005
Springer
15 years 5 months ago
Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain
Abstract. This paper describes a method of adapting a domain-independent HPSG parser to a biomedical domain. Without modifying the grammar and the probabilistic model of the origin...
Tadayoshi Hara, Yusuke Miyao, Jun-ichi Tsujii
INTERSPEECH
2010
14 years 6 months ago
Combination of probabilistic and possibilistic language models
In a previous paper we proposed Web-based language models relying on the possibility theory. These models explicitly represent the possibility of word sequences. In this paper we ...
Stanislas Oger, Vladimir Popescu, Georges Linar&eg...
EMNLP
2006
15 years 1 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson
CORR
2012
Springer
220views Education» more  CORR 2012»
13 years 7 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
COLING
2000
15 years 1 months ago
Exploiting a Probabilistic Hierarchical Model for Generation
Previous stochastic approaches to generation do not include a tree-based representation of syntax. While this may be adequate or even advantageous for some applications, other app...
Srinivas Bangalore, Owen Rambow