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ICDAR
2009
IEEE
14 years 2 months ago
Classifying Foreground Pixels in Document Images
We present a system that classifies pixels in a document image according to marking type such as machine print, handwriting, and noise. A segmenter module first splits an input ...
Prateek Sarkar, Eric Saund, Jing Lin
EMNLP
2010
13 years 5 months ago
NLP on Spoken Documents Without ASR
There is considerable interest in interdisciplinary combinations of automatic speech recognition (ASR), machine learning, natural language processing, text classification and info...
Mark Dredze, Aren Jansen, Glen Coppersmith, Ken Wa...
ICIP
2002
IEEE
14 years 9 months ago
Straightening warped text lines using polynomial regression
Perspective distortion always occurs while scanning thick, bound documents, resulting in two problems in the scanned grayscale image ? (i) shade along the `spine' of the book...
Zheng Zhang 0003, Chew Lim Tan
KCAP
2009
ACM
14 years 2 months ago
Analyzing human intentions in natural language text
In this paper, we introduce the idea of Intent Analysis, which is to create a profile of the goals and intentions present in textual content. Intent Analysis, similar to Sentiment...
Mark Kröll, Markus Strohmaier
HICSS
1999
IEEE
125views Biometrics» more  HICSS 1999»
14 years 5 days ago
ASHRAM: Active Summarization and Markup
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...
Mary S. Neff, James W. Cooper