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» A Statistical Model for Domain-Independent Text Segmentation
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ACL
2001
13 years 6 months ago
A Statistical Model for Domain-Independent Text Segmentation
We propose a statistical method that finds the maximum-probability segmentation of a given text. This method does not require training data because it estimates probabilities from...
Masao Utiyama, Hitoshi Isahara
CICLING
2009
Springer
14 years 5 months ago
Enriching Statistical Translation Models Using a Domain-Independent Multilingual Lexical Knowledge Base
This paper presents a method for improving phrase-based Statistical Machine Translation systems by enriching the original translation model with information derived from a multilin...
Miguel García, Jesús Giménez,...
AAAI
2000
13 years 6 months ago
The Automatic Interpretation of Nominalizations
This paper discusses the interpretation of nominalizations in domain independent wide-coverage text. We present a statistical model which interprets nominalizations based on the c...
Maria Lapata
EMNLP
2010
13 years 3 months ago
Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping
Almost all Chinese language processing tasks involve word segmentation of the language input as their first steps, thus robust and reliable segmentation techniques are always requ...
Baobao Chang, Dongxu Han
AI
2008
Springer
13 years 7 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios