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SEMCO
2007
IEEE
14 years 1 months ago
Learning by Reading by Learning to Read
Knowledge-based natural language processing systems learn by reading, i.e., they process texts to extract knowledge. The performance of these systems crucially depends on knowledg...
Sergei Nirenburg, Tim Oates, Jesse English
SIGIR
2003
ACM
14 years 26 days ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann
ACL
2010
13 years 5 months ago
Predicate Argument Structure Analysis Using Transformation Based Learning
Maintaining high annotation consistency in large corpora is crucial for statistical learning; however, such work is hard, especially for tasks containing semantic elements. This p...
Hirotoshi Taira, Sanae Fujita, Masaaki Nagata
SEMWEB
2005
Springer
14 years 1 months ago
Rapid Benchmarking for Semantic Web Knowledge Base Systems
Abstract. We present a method for rapid development of benchmarks for Semantic Web knowledge base systems. At the core, we have a synthetic data generation approach for OWL that is...
Sui-Yu Wang, Yuanbo Guo, Abir Qasem, Jeff Heflin
ACL
2006
13 years 9 months ago
Combining Statistical and Knowledge-Based Spoken Language Understanding in Conditional Models
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Ye-Yi Wang, Alex Acero, Milind Mahajan, John Lee