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QA-EL
Mining Lexical-Semantic Knowledge from Dynamic and Linguistic Sources and Integration into Question Answering for Discourse-Based Knowledge Acquisition in eLearning
Information overload is a well-known problem which also affects learning, since huge amounts of learning material are nowadays available in different formats and from different sources.
This makes it all the harder for the learner to access information in a fast and direct way.
Goal
In the QA-EL project we investigate new applications of dynamic lexical-semantic resources for information search in eLearning. On the one hand, we develop novel ways of mining knowledge from Web 2.0 knowledge repositories. On the other hand, we apply Question Answering in the area of discourse-based knowledge acquisition in eLearning for the first time.
Our goal is to provide uniform access to both institutional and informal knowledge resources, whereby precise and short aggregated answers are supplied to the learner.
Feel free to download our QA-EL flyer.
System Architecture
Our system architecture focuses on the integration of information extracted from different knowledge repositories for the targeted needs of Question Answering in eLearning 2.0.
Classical linguistically motivated resources such as 
GermaNet are coupled with lexical-semantic information extracted from collaborative resources like Wikipedia, and put into service for processing heterogeneous institutional and other Web 2.0 eLearning content.
Project Publications
| UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF |
| Iryna Gurevych and Judith Eckle-Kohler and Silvana Hartmann and Michael Matuschek and Christian M. Meyer and Christian Wirth In: Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), p. 580--590, April 2012. http://www.ukp.tu-darmstadt.de/uby/. |
| Mining Multiword Terms from Wikipedia |
| Silvana Hartmann and György Szarvas and Iryna Gurevych In: Maria Teresa Pazienza and Armando Stellato: Semi-Automatic Ontology Development: Processes and Resources, p. 226--258, IGI Global, 2012. ISBN 978-1-4666-0188-8. www.ukp.tu-darmstadt.de/data/multiwords. |
| The People’s Web meets Linguistic Knowledge: Automatic Sense Alignment of Wikipedia and WordNet |
| Elisabeth Niemann (geb. Wolf) and Iryna Gurevych In: Proceedings of the 9th International Conference on Computational Semantics, p. 205--214, January 2011. |
| Expert-Built and Collaboratively Constructed Lexical Semantic Resources |
| Iryna Gurevych and Elisabeth Wolf In: Language and Linguistics Compass, vol. 4, no. 11, p. 1074--1090, November 2010. |
| Aligning Sense Inventories in Wikipedia and WordNet |
| Elisabeth Wolf and Iryna Gurevych In: Proceedings of the First Workshop on Automated Knowledge Base Construction, p. 24-28, May 2010. |
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People
- Prof. Iryna Gurevych, Principal Investigator
- Silvana Hartmann, Doctoral Researcher
- Elisabeth Wolf, Project Coordinator
Funding
The project is funded by the German Research Foundation (DFG). It was originally initiated as part of the Young Researcher's Excellence Emmy-Noether Program.
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