Natural Language Understanding

Natural Language Understanding is a subtopic of natural language processing in Artifical Intelligence that deals with machine reading comprehension.

Relevant publications:

Hakimov, S. (2019). Learning Multilingual Semantic Parsers for Question Answering over Linked Data. A comparison of neural and probabilistic graphical model architectures. Bielefeld University, Germany (Doctoral Dissertation) Paper

Hakimov, S. , Jebbara, S., Cimiano, P. (2019). Evaluating Architectural Choices for Deep Learning Approaches for Question Answering over Knowledge Bases. In Proceedings of the 13th International Semantic Computing Conference (ICSC) Paper

Ell B, Hakimov, S. , Braukmann, P., Cazzoli, L., Kaupmann, F., Mancino, A., Altaf Memon, J., Rother, K., Saini, A., Cimiano, P. (2017). Towards a Large Corpus of Richly Annotated Web Tables for Knowledge Base Population. In Proceedings of 5th International Workshop on Linked Data for Information Extraction, co-located with the 16th International Semantic Web Conference (ISWC) Paper

Hakimov, S., Jebbara, S., Cimiano, P. (2017). AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data. In Proceedings of the 16th International Semantic Web Conference (ISWC) Paper

Ell, B., Hakimov, S., Cimiano, P. (2016). Statistical Induction of Coupled Domain/Range Restrictions from RDF Knowledge Bases. In Proceedings of 4th NLP and DBpedia Workshop, co-located with the 15th International Semantic Web Conference (ISWC) Paper

Hakimov, S., ter Horst, H., Jebbara, S., Hartung, M., Cimiano, P. (2016). Combining textual and graph-based features for named entity disambiguation using undirected probabilistic graphical models. In Proceedings of 20th International Knowledge Engineering and Knowledge Management Conference (EKAW) Paper

Hakimov, S., Unger, C., Walter, S., Cimiano, P. (2015) Applying semantic parsing to question answering over linked data: Addressing the lexical gap. In Proceedings of International Conference on Applications of Natural Language to Information Systems (NLDB) Paper

Dogdu, E., Hakimov, S., Yumusak, S. (2014). A data-model driven web application development framework. In Proceedings of the 2014 ACM Southeast Regional Conference Paper

Hakimov, S. (2013). Named Entity Disambiguation using Linked Open Data. TOBB University, Ankara, Turkey (Master’s Thesis) Paper

Hakimov, S., Tunc, H., Akimaliev, M., Dogdu, E. (2013) Semantic question answering system over linked data using relational patterns. In Proceedings of the Joint EDBT/ICDT 2013 Workshops Paper

Hakimov, S., Oto, S. A., Dogdu, E. (2012). Named entity recognition and disambiguation using linked data and graph-based centrality scoring. In Proceedings of the 4th international workshop on semantic web information management Paper