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» Evaluating machine learning for information extraction
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ICALT
2007
IEEE
15 years 7 months ago
Evaluating the automatic and manual creation process of adaptive lessons
Using adaptive, personalized courses is rewarding, as it can create a better learning experience, tailored for a specific learner’s needs. The process of creating these courses,...
Maurice Hendrix, Alexandra I. Cristea, Mike Joy
SIGIR
2012
ACM
13 years 8 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
ACL
2004
15 years 7 months ago
Applying Machine Learning to Chinese Temporal Relation Resolution
Temporal relation resolution involves extraction of temporal information explicitly or implicitly embedded in a language. This information is often inferred from a variety of inte...
Wenjie Li, Kam-Fai Wong, Guihong Cao, Chunfa Yuan
IJCAI
1993
15 years 7 months ago
FASTUS: A Finite-state Processor for Information Extraction from Real-world Text
Approaches to text processing that rely on parsing the text with a context-free grammar tend to be slow and error-prone because of the massive ambiguity of long sentences. In cont...
Douglas E. Appelt, Jerry R. Hobbs, John Bear, Davi...
ESWS
2004
Springer
15 years 11 months ago
Learning to Harvest Information for the Semantic Web
Abstract. In this paper we describe a methodology for harvesting information from large distributed repositories (e.g. large Web sites) with minimum user intervention. The methodol...
Fabio Ciravegna, Sam Chapman, Alexiei Dingli, Yori...