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» Using Lexical Similarity in Handwritten Word Recognition
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CORR
2007
Springer
141views Education» more  CORR 2007»
14 years 11 months ago
Bootstrapping Deep Lexical Resources: Resources for Courses
We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a ...
Timothy Baldwin
ICPR
2000
IEEE
16 years 25 days ago
Accuracy Improvement of Slant Estimation for Handwritten Words
Handwritten words are usually slant or Italicized due to the mechanism of handwriting and the personality. In order to improve the accuracy of character segmentation and recogniti...
Yimei Ding, Fumitaka Kimura, Yasuji Miyake, Malaya...
WEBI
2010
Springer
14 years 9 months ago
Using Relational Similarity between Word Pairs for Latent Relational Search on the Web
Latent relational search is a new search paradigm based on the degree of analogy between two word pairs. A latent relational search engine is expected to return the word Paris as a...
Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishiz...
DRR
2009
14 years 9 months ago
Online computation of similarity between handwritten characters
We are interested in the problem of curve identification, motivated by problems in handwriting recognition. Various geometric approaches have been proposed, with one of the most p...
Oleg Golubitsky, Stephen M. Watt
WSDM
2009
ACM
198views Data Mining» more  WSDM 2009»
15 years 6 months ago
Measuring the similarity between implicit semantic relations using web search engines
Measuring the similarity between implicit semantic relations is an important task in information retrieval and natural language processing. For example, consider the situation whe...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...