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AAAI
2007
14 years 12 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
KI
2008
Springer
14 years 9 months ago
Towards a Mapping from ERDF(S) to Take Vocabulary
This paper presents a mapping solution from ERDF(S) to Take vocabulary. The work is related to an investigation of integrating ERDF Derivation Rules into Take inference engine. Som...
Ion-Mircea Diaconescu, Adrian Giurca, Gerd Wagner,...
ACL
2010
14 years 7 months ago
Unsupervised Ontology Induction from Text
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
Hoifung Poon, Pedro Domingos
CIKM
2007
Springer
15 years 3 months ago
Structure and semantics for expressive text kernels
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Stephan Bloehdorn, Alessandro Moschitti
ACL
2009
14 years 7 months ago
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
Tao Li, Yi Zhang 0005, Vikas Sindhwani