Sciweavers

857 search results - page 87 / 172
» Maximum Entropy Utility
Sort
View
109
Voted
LREC
2010
148views Education» more  LREC 2010»
15 years 3 months ago
POS Multi-tagging Based on Combined Models
In the POS tagging task, there are two kinds of statistical models: one is generative model, such as the HMM, the others are discriminative models, such as the Maximum Entropy Mod...
Yan Zhao, Gertjan van Noord
NAACL
2007
15 years 3 months ago
Direct Translation Model 2
This paper presents a maximum entropy machine translation system using a minimal set of translation blocks (phrase-pairs). While recent phrase-based statistical machine translatio...
Abraham Ittycheriah, Salim Roukos
ACL
2006
15 years 3 months ago
Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches
Sentence compression is a task of creating a short grammatical sentence by removing extraneous words or phrases from an original sentence while preserving its meaning. Existing me...
Yuya Unno, Takashi Ninomiya, Yusuke Miyao, Jun-ich...
ACL
2006
15 years 3 months ago
A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces
Recent developments in statistical modeling of various linguistic phenomena have shown that additional features give consistent performance improvements. Quite often, improvements...
Qi Zhang, Fuliang Weng, Zhe Feng
EMNLP
2004
15 years 3 months ago
Chinese Part-of-Speech Tagging: One-at-a-Time or All-at-Once? Word-Based or Character-Based?
Chinese part-of-speech (POS) tagging assigns one POS tag to each word in a Chinese sentence. However, since words are not demarcated in a Chinese sentence, Chinese POS tagging req...
Hwee Tou Ng, Jin Kiat Low