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AAAI
2007
13 years 9 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
13 years 6 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
13 years 4 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
14 years 28 days 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
13 years 4 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