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TAL
2010
Springer
15 years 4 months ago
Automatic Learning of Discourse Relations in Swedish Using Cue Phrases
Abstract. This paper describes experiments to extract discourse relations holding between two text spans in Swedish. We considered three relation types: cause-explanation-evidence ...
Stefan Karlsson, Pierre Nugues
ACL
2010
15 years 4 months ago
Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition
Graph-based semi-supervised learning (SSL) algorithms have been successfully used to extract class-instance pairs from large unstructured and structured text collections. However,...
Partha Pratim Talukdar, Fernando Pereira
AAAI
2012
13 years 8 months ago
Multi-Label Learning by Exploiting Label Correlations Locally
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
Sheng-Jun Huang, Zhi-Hua Zhou
CORR
2007
Springer
170views Education» more  CORR 2007»
15 years 6 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
SIGKDD
2002
92views more  SIGKDD 2002»
15 years 6 months ago
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1)
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah,...