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ACL
2006
13 years 6 months ago
Automatic Construction of Polarity-Tagged Corpus from HTML Documents
This paper proposes a novel method of building polarity-tagged corpus from HTML documents. The characteristics of this method is that it is fully automatic and can be applied to a...
Nobuhiro Kaji, Masaru Kitsuregawa
EMNLP
2007
13 years 6 months ago
Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents
Recognizing polarity requires a list of polar words and phrases. For the purpose of building such lexicon automatically, a lot of studies have investigated (semi-) unsupervised me...
Nobuhiro Kaji, Masaru Kitsuregawa
DKE
1998
146views more  DKE 1998»
13 years 4 months ago
A Case study of Automatic Authoring: From a Textbook to a Hyper-Textbook
This paper presents a case-study of automatic construction of a hypertext from a large full-text document. The document we used as input of the automatic authoring process is a we...
Fabio Crestani, Massimo Melucci
ACL
2003
13 years 6 months ago
Automatic Acquisition of Named Entity Tagged Corpus from World Wide Web
In this paper, we present a method that automatically constructs a Named Entity (NE) tagged corpus from the web to be used for learning of Named Entity Recognition systems. We use...
Joohui An, Seungwoo Lee, Gary Geunbae Lee
HICSS
2008
IEEE
105views Biometrics» more  HICSS 2008»
13 years 11 months ago
Using Visual Features for Fine-Grained Genre Classification of Web Pages
The field of automatic genre classification has primarily focused on extracting textual features from documents. The goal of this research is to investigate whether visual feature...
Ryan Levering, Michal Cutler, Lei Yu