Adaptive Language Technologies : Informatisches Kolloquium
- Link:
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https://lecture2go.uni-hamburg.de/l2go/-/get/v/21677
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- Autor/in:
- Beteiligte Personen:
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- Regionales Rechenzentrum der Universität Hamburg/ MCC/ Lecture2Go
- eLB-MIN
- Verlag/Körperschaft:
- Universität Hamburg
- Erscheinungsjahr:
- 2017
- Medientyp:
- Audiovisuell
- Schlagwort:
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- Informatik
- Beschreibung:
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- Automatic natural language understanding enables natural communication with computers and computer-assisted access to the content of large document collections. While classical approaches to artificial intelligence anticipate all possible situations and interactions in form of a fully specified dialogue model or ontology, they are hard to adapt to new domains and do not cope well with language change. In this talk, I will motivate an adaptive, purely data-driven approach to natural language processing. Illustrated by recent research prototypes, three stages of data-driven adaptation will be illustrated: feature/resource induction, induction of processing components and continuous data-driven learning. Finally, I will discuss current research and future directions regarding the integration of symbolic and statistical knowledge, interpretability of language processing components as well as advanced forms of information access.
- Lizenz:
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- UHH-L2G
- Quellsystem:
- Lecture2Go UHH
Interne Metadaten
- Quelldatensatz
- oai:lecture2go.uni-hamburg.de:21677