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» Domain Adaptation of Maximum Entropy Language Models
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IJCNLP
2004
Springer
14 years 1 months ago
Tagging Complex NEs with MaxEnt Models: Layered Structures Versus Extended Tagset
The paper discusses two policies for recognizing NEs with complex structures by maximum entropy models. One policy is to develop cascaded MaxEnt models at different levels. The ot...
Deyi Xiong, Hongkui Yu, Qun Liu
TREC
2001
13 years 9 months ago
The Bias Problem and Language Models in Adaptive Filtering
We used the YFILTER filtering system for experiments on updating profiles and setting thresholds. We developed a new method of using language models for updating profiles that is ...
Yi Zhang 0001, James P. Callan
COLING
2010
13 years 2 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
IJCNLP
2005
Springer
14 years 1 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
AAAI
2012
11 years 10 months ago
Discriminative Clustering via Generative Feature Mapping
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia