Gaston BurekPart Time Student
Currently working at the linguistics department of Tuebingen University.
Within the LTfLL project (www.ltfll-project.org) my research focus on LSA applications for supporting long life learners in achieving their specified learning goals. I build next generation of NLP based tools capable of finding the optimal learning path according to each individual learning history.
In addition, I have a special interest in computational semantics for recognising textual entailment (RTE).
My ongoing PhD work at KMi focus on a robust and scalable model for fine grained semantics that incorporates the principle of "distributional compositionality" in semantic spaces.
PREVIOUS PROJECT: Semantic mining project (www.semanticmining.org)
Keys: Computational Semantics, Semantic Spaces, Semantic Similarity, LSA, Recognising Textual Entailment, Computer Assisted Learning
Wild, F., Hoisl, B. and Burek, G. (2009) Positioning for Conceptual Development using Latent Semantic Analysis, In Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2009), Workshop on GEMS: GEometical Models of Natural Language Semantics, Athens, Greece, pp. 41-48
Burek, G., A., D. and Zdrahal, Z. (2005) Hybrid Mappings of Complex Questions over an Integrated Semantic Space, The 4th International Workshop on Web Semantics (WEBS) at the 16th International Conference on Database and Expert Systems Applications (DEXA, Copenhagen, Denmark, IEEE Computer Society Press
Burek, G., Vargas-Vera, M. and Moreale, E. (2004) Indexing Student Essays Paragraphs Using LSA Over an Integrated Ontological Space, Workshop: Workshop on eLearning at Computational Linguistics and Computational Linguistic for eLearning. COLING 2004, Geneva, Switzerland