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

Additional Attributes

Type

UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF

Iryna Gurevych, Judith Eckle-Kohler, Silvana Hartmann, Michael Matuschek, Christian M. Meyer, 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
[Online-Edition: http://www.ukp.tu-darmstadt.de/uby/]
[Inproceedings]

Mining Multiword Terms from Wikipedia

Silvana Hartmann, György Szarvas, Iryna Gurevych
In: Semi-Automatic Ontology Development: Processes and Resources, p. 226--258, 2012
IGI Global
[Online-Edition: www.ukp.tu-darmstadt.de/data/multiwords]
[InCollection]

The People’s Web meets Linguistic Knowledge: Automatic Sense Alignment of Wikipedia and WordNet

Elisabeth Niemann Wolf), Iryna Gurevych
In: Proceedings of the 9th International Conference on Computational Semantics, p. 205--214, January 2011
[Inproceedings]

Aligning Sense Inventories in Wikipedia and WordNet

Elisabeth Wolf, Iryna Gurevych
In: Proceedings of the First Workshop on Automated Knowledge Base Construction, p. 24-28, May 2010
[Inproceedings]

Combining Probabilistic and Translation-Based Models for Information Retrieval based on Word Sense Annotations

Elisabeth Wolf, Delphine Bernhard, Iryna Gurevych
In: CLEF 2009 Workshop, Part I, Vol. 6241, p. 120-127, 2010
Springer
[InCollection]

Expert-Built and Collaboratively Constructed Lexical Semantic Resources

Iryna Gurevych, Elisabeth Wolf
In: Language and Linguistics Compass, Vol. 4, p. 1074--1090, 2010
[Article]

A Multi-Dimensional Model for Assessing the Quality of Answers in Social Q&A Sites

Zhemin Zhu, Delphine Bernhard, Iryna Gurevych
In: Proceedings of 14th International Conference on Information Quality, p. 264-265, November 2009
[Inproceedings]

A Multi-Dimensional Model for Assessing the Quality of Answers in Social Q&A Sites

Zhemin Zhu, Delphine Bernhard, Iryna Gurevych
October 2009
[Techreport]

Combining Probabilistic and Translation-Based Models for Information Retrieval based on Word Sense Annotations

Elisabeth Wolf, Delphine Bernhard, Iryna Gurevych
In: Working Notes for the CLEF 2009 Workshop, September 2009
[Inproceedings]

Educational Question Answering based on Social Media Content

Iryna Gurevych, Delphine Bernhard, Kateryna Ignatova, Cigdem Toprak
In: Proceedings of the 14th International Conference on Artificial Intelligence in Education. Building learning systems that care: From knowledge representation to affective modelling (AIED2009), Vol. 200, p. 133-140, July 2009
IOS Press
[InCollection]

 

 

People

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.

 

A A A | Drucken Print | Impressum Impressum | Sitemap Sitemap | Suche Search | Kontakt Contact | Webseitenanalyse: Mehr Informationen
zum Seitenanfangzum Seitenanfang