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EMNLP
2010
14 years 7 months ago
Using Unknown Word Techniques to Learn Known Words
Unknown words are a hindrance to the performance of hand-crafted computational grammars of natural language. However, words with incomplete and incorrect lexical entries pose an e...
Kostadin Cholakov, Gertjan van Noord
COLING
2008
14 years 11 months ago
Word Sense Disambiguation for All Words using Tree-Structured Conditional Random Fields
We propose a supervised word sense disambiguation (WSD) method using tree-structured conditional random fields (TCRFs). By applying TCRFs to a sentence described as a dependency t...
Jun Hatori, Yusuke Miyao, Jun-ichi Tsujii
IJCNLP
2005
Springer
15 years 3 months ago
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
Guodong Zhou
ICDAR
2003
IEEE
15 years 2 months ago
Word Searching in CCITT Group 4 Compressed Document Images
In this paper, we present a compressed pattern matching method for searching user queried words in the CCITT Group 4 compressed document images, without decompressing. The feature...
Yue Lu, Chew Lim Tan
92
Voted
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
15 years 4 months ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...