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» Improved Text Generation Using N-gram Statistics
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EMNLP
2007
14 years 11 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
ICPR
2010
IEEE
15 years 4 months ago
Automatic Pathology Annotation on Medical Images: A Statistical Machine Translation Framework
Large number of medical images are produced daily in hospitals and medical institutions, the needs to efficiently process, index, search and retrieve these images are great. In t...
Tianxia Gong, Shimiao Li, Chew-Lim Tan, Boon Chuan...
LREC
2008
88views Education» more  LREC 2008»
14 years 11 months ago
A Trainable Tokenizer, solution for multilingual texts and compound expression tokenization
Tokenization is one of the initial steps done for almost any text processing task. It is not particularly recognized as a challenging task for English monolingual systems but it r...
Oana Frunza
CIKM
2005
Springer
15 years 3 months ago
Generating better concept hierarchies using automatic document classification
This paper presents a hybrid concept hierarchy development technique for web returned documents retrieved by a meta-search engine. The aim of the technique is to separate the init...
Razvan Stefan Bot, Yi-fang Brook Wu, Xin Chen, Qua...
SIBGRAPI
1999
IEEE
15 years 2 months ago
Real-Time Shadow Generation Using BSP Trees and Stencil Buffers
This paper describes a real-time shadow generation algorithm for polygonal environments illuminated by movable point light sources. The main goal is to quickly reduce the number o...
Harlen Costa Batagelo, Ilaim Costa Júnior