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Courses and Workshops
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| Title: | Intelligent information extraction |
| Lecturer(s): | Guenter Neumann (DFKI) and Feiyu Xu (DFKI) |
| Type: | Advanced Course |
| Section: | Language and Computation |
| Week: | Second | | Time: | 9.00-10.30 (Slot 1) |
| Webpage: | http://www.dfki.de/~neumann/ie-esslli04.html
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| Reader: | Course will not have a reader | | Room: | A3 |
Description We will present the state-of-the-art in intelligent information
extraction (IE). The lecture will be subdivided into four major topics:
introduction, challenges, machine learning (ML) methods, applications.
We start with a historical overview and explain the different tasks and
evaluation methods of IE (e.g., template filling, domain ontologies). We
summarize the core IE functionality by contrasting rule-based and
corpus-based system design. This will also cover advanced NLP aspects
like integration of shallow and deep processing. Secondly, the
participants will be faced with major IE challenges wrt. domain
adaptivity, e.g., portability, and multi-linguality. Consequently, we
then focus on advanced ML methods for the different IE tasks under
various dimensions (supervised, unsupervised, multi-lingual). Finally,
we present different exciting applications that embed IE as a major
component, viz. open-domain question answering, text summarization, text
data mining, and Semantic Web services.
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© 2003, 2004 LORIA, Carlos Areces. |
2004-06-15
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