13 Publikationen
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933089Hakimov S, Jebbara S, Cimiano P. Evaluating Architectural Choices for Deep Learning Approaches for Question Answering over Knowledge Bases. Presented at the The 13th IEEE International Conference on Semantic Computing, Newport Beach, California.PUB | PDF
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913141Hakimov S, Jebbara S, Cimiano P. AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data. In: d'Amato C, Fernandez M, Tamma V, eds. The Semantic Web - ISWC 2017. 16th International Semantic Web Conference. Proceedings. Lecture Notes in Computer Science. Vol 10587. Cham: Springer; 2017: 329-346.PUB | PDF | DOI
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2017 | Datenpublikation | PUB-ID: 2912802Hakimov S, Ell B, Kaupmann F, et al. Research Data - Towards a Large Corpus of Richly Annotated Web Tables for Knowledge Base Population. Bielefeld University; 2017.PUB | Dateien verfügbar | DOI
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913458Ell B, Hakimov S, Braukmann P, et al. Towards a Large Corpus of Richly Annotated Web Tables for Knowledge Base Population. Presented at the Fifth international workshop on Linked Data for Information Extraction (LD4IE) at ISWC2017, Vienna.PUB | PDF
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2016 | Datenpublikation | PUB-ID: 2902978Hakimov S, ter Horst H, Jebbara S, Hartung M, Cimiano P. Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. Bielefeld University; 2016.PUB | Dateien verfügbar | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552Hakimov S, ter Horst H, Jebbara S, Hartung M, Cimiano P. Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. In: Knowledge Engineering and Knowledge Management. Lecture Notes in Computer Science. Vol 10024. Springer; 2016: 288-302.PUB | PDF | DOI
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2015 | Datenpublikation | PUB-ID: 2715997Hakimov S, Unger C, Walter S, Cimiano P. Applying Semantic Parsing to Question Answering over Linked Data: Addressing the Lexical Gap - Data. Bielefeld University; 2015.PUB | Dateien verfügbar | DOI
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2760642Hakimov S, Unger C, Walter S, Cimiano P. Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap. In: Biemann C, Handschuh S, Freitas A, Meziane F, Metais E, eds. Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings. LNCS. Vol 9103. Springer International Publishing; 2015: 103-109.PUB | PDF | DOI
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