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COLING
2008
15 years 17 days ago
Generation under Space Constraints
Reasoning about how much to generate when space is limited is a challenge for generation systems. This paper presents two algorithms that exploit the discourse structure to decide...
Cécile Paris, Nathalie Colineau, Andrew Lam...
88
Voted
WWW
2008
ACM
15 years 11 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
FLAIRS
2007
15 years 1 months ago
Indexing Documents by Discourse and Semantic Contents from Automatic Annotations of Texts
The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...
Brahim Djioua, Jean-Pierre Desclés
94
Voted
DAS
2010
Springer
15 years 2 months ago
Text extraction from graphical document images using sparse representation
A novel text extraction method from graphical document images is presented in this paper. Graphical document images containing text and graphics components are considered as two-d...
Thai V. Hoang, Salvatore Tabbone
ITNG
2008
IEEE
15 years 5 months ago
Prototype Generation from Ontology Charts
Semantic Analysis is a business analysis method designed to capture user requirements and represent them as text or in a graph that is called Ontology Chart. Ontology Charts can b...
George Tsaramirsis, Iman Poernomo