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KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 4 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum
CIKM
2008
Springer
13 years 6 months ago
Using structured text for large-scale attribute extraction
We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is a...
Sujith Ravi, Marius Pasca
AI
2011
Springer
12 years 8 months ago
Using a Heterogeneous Dataset for Emotion Analysis in Text
In this paper, we adopt a supervised machine learning approach to recognize six basic emotions (anger, disgust, fear, happiness, sadness and surprise) using a heterogeneous emotion...
Soumaya Chaffar, Diana Inkpen
CIKM
2007
Springer
13 years 10 months ago
The role of documents vs. queries in extracting class attributes from text
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
Marius Pasca, Benjamin Van Durme, Nikesh Garera
DRR
2010
13 years 7 months ago
General text line extraction approach based on locally orientation estimation
This paper presents a novel approach for the multi-oriented text line extraction from historical handwritten Arabic documents. Because of the multi-orientation of lines and their ...
Nazih Ouwayed, Abdel Belaïd, François ...