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ESWS
2006
Springer
13 years 11 months ago
Automatic Extraction of Hierarchical Relations from Text
Abstract. Automatic extraction of semantic relationships between entity instances in an ontology is useful for attaching richer semantic metadata to documents. In this paper we pro...
Ting Wang, Yaoyong Li, Kalina Bontcheva, Hamish Cu...
FLAIRS
2006
13 years 9 months ago
Using Web Searches on Important Words to Create Background Sets for LSI Classification
The world wide web has a wealth of information that is related to almost any text classification task. This paper presents a method for mining the web to improve text classificati...
Sarah Zelikovitz, Marina Kogan
ACL
2010
13 years 6 months ago
Fine-Grained Genre Classification Using Structural Learning Algorithms
Prior use of machine learning in genre classification used a list of labels as classification categories. However, genre classes are often organised into hierarchies, e.g., coveri...
Zhili Wu, Katja Markert, Serge Sharoff
CVPR
2010
IEEE
14 years 4 months ago
Building and Using a Semantivisual Image Hierarchy
A semantically meaningful image hierarchy can ease the human effort in organizing thousands and millions of pictures (e.g., personal albums), and help to improve performance of en...
Li-Jia Li, Chong Wang, Yongwhan Lim, David Blei, L...
AMT
2006
Springer
147views Multimedia» more  AMT 2006»
13 years 11 months ago
Semi-Supervised Text Classification Using Positive and Unlabeled Data
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
Shuang Yu, Xueyuan Zhou, Chunping Li