13 Publikationen

Alle markieren

[13]
2019 | Bielefelder E-Dissertation | PUB-ID: 2935619
S. Hakimov, Learning Multilingual Semantic Parsers for Question Answering over Linked Data. A comparison of neural and probabilistic graphical model architectures, Bielefeld: Universität Bielefeld, 2019.
PUB | PDF
 
[12]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933089
S. Hakimov, S. Jebbara, and P. Cimiano, “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, 2019.
PUB | PDF
 
[11]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913141
S. Hakimov, S. Jebbara, and P. Cimiano, “AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data”, The Semantic Web - ISWC 2017. 16th International Semantic Web Conference. Proceedings, C. d'Amato, M. Fernandez, and V. Tamma, eds., Lecture Notes in Computer Science, vol. 10587, Cham: Springer, 2017, pp.329-346.
PUB | PDF | DOI
 
[10]
2017 | Datenpublikation | PUB-ID: 2912802
S. Hakimov, et al., Research Data - Towards a Large Corpus of Richly Annotated Web Tables for Knowledge Base Population. Bielefeld University, 2017. doi:10.4119/unibi/2912802.
PUB | Dateien verfügbar | DOI
 
[9]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913458
B. Ell, 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, 2017.
PUB | PDF
 
[8]
2016 | Datenpublikation | PUB-ID: 2902978
S. Hakimov, et al., Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. Bielefeld University, 2016. doi:10.4119/unibi/2902978.
PUB | Dateien verfügbar | DOI
 
[7]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552
S. Hakimov, et al., “Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models”, Knowledge Engineering and Knowledge Management, Lecture Notes in Computer Science, vol. 10024, Springer, 2016, pp.288-302.
PUB | PDF | DOI
 
[6]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904967
B. Ell, S. Hakimov, and P. Cimiano, “Statistical Induction of Coupled Domain/Range Restrictions from RDF Knowledge Bases”, Proceedings of the 15th International Semantic Web Conference, 2016.
PUB | PDF
 
[5]
2015 | Datenpublikation | PUB-ID: 2715997
S. Hakimov, et al., Applying Semantic Parsing to Question Answering over Linked Data: Addressing the Lexical Gap - Data. Bielefeld University, 2015. doi:10.4119/unibi/2715997.
PUB | Dateien verfügbar | DOI
 
[4]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2760642
S. Hakimov, et al., “Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap”, 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, C. Biemann, et al., eds., LNCS, vol. 9103, Springer International Publishing, 2015, pp.103-109.
PUB | PDF | DOI
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715998
E. Dogdu, S. Hakimov, and S. Yumusak, “A Data-Model Driven Web Application Development Framework”, Proc. of the 52nd ACM Southeast Conference, 2014.
PUB | PDF
 
[2]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2657454
S. Hakimov, et al., “Semantic Question Answering System over Linked Data using Relational Patterns”, EDBT/ICDT LWDM 2013, 2013.
PUB | PDF
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2657450
S. Hakimov, S.A. Oto, and E. Dogdu, “Named Entity Recognition and Disambiguation using Linked Data and Graph-based Centrality Scoring”, SIGMOD, SWIM 2012, 2012, pp.4.
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13 Publikationen

Alle markieren

[13]
2019 | Bielefelder E-Dissertation | PUB-ID: 2935619
S. Hakimov, Learning Multilingual Semantic Parsers for Question Answering over Linked Data. A comparison of neural and probabilistic graphical model architectures, Bielefeld: Universität Bielefeld, 2019.
PUB | PDF
 
[12]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933089
S. Hakimov, S. Jebbara, and P. Cimiano, “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, 2019.
PUB | PDF
 
[11]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913141
S. Hakimov, S. Jebbara, and P. Cimiano, “AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data”, The Semantic Web - ISWC 2017. 16th International Semantic Web Conference. Proceedings, C. d'Amato, M. Fernandez, and V. Tamma, eds., Lecture Notes in Computer Science, vol. 10587, Cham: Springer, 2017, pp.329-346.
PUB | PDF | DOI
 
[10]
2017 | Datenpublikation | PUB-ID: 2912802
S. Hakimov, et al., Research Data - Towards a Large Corpus of Richly Annotated Web Tables for Knowledge Base Population. Bielefeld University, 2017. doi:10.4119/unibi/2912802.
PUB | Dateien verfügbar | DOI
 
[9]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913458
B. Ell, 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, 2017.
PUB | PDF
 
[8]
2016 | Datenpublikation | PUB-ID: 2902978
S. Hakimov, et al., Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. Bielefeld University, 2016. doi:10.4119/unibi/2902978.
PUB | Dateien verfügbar | DOI
 
[7]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552
S. Hakimov, et al., “Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models”, Knowledge Engineering and Knowledge Management, Lecture Notes in Computer Science, vol. 10024, Springer, 2016, pp.288-302.
PUB | PDF | DOI
 
[6]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904967
B. Ell, S. Hakimov, and P. Cimiano, “Statistical Induction of Coupled Domain/Range Restrictions from RDF Knowledge Bases”, Proceedings of the 15th International Semantic Web Conference, 2016.
PUB | PDF
 
[5]
2015 | Datenpublikation | PUB-ID: 2715997
S. Hakimov, et al., Applying Semantic Parsing to Question Answering over Linked Data: Addressing the Lexical Gap - Data. Bielefeld University, 2015. doi:10.4119/unibi/2715997.
PUB | Dateien verfügbar | DOI
 
[4]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2760642
S. Hakimov, et al., “Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap”, 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, C. Biemann, et al., eds., LNCS, vol. 9103, Springer International Publishing, 2015, pp.103-109.
PUB | PDF | DOI
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715998
E. Dogdu, S. Hakimov, and S. Yumusak, “A Data-Model Driven Web Application Development Framework”, Proc. of the 52nd ACM Southeast Conference, 2014.
PUB | PDF
 
[2]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2657454
S. Hakimov, et al., “Semantic Question Answering System over Linked Data using Relational Patterns”, EDBT/ICDT LWDM 2013, 2013.
PUB | PDF
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2657450
S. Hakimov, S.A. Oto, and E. Dogdu, “Named Entity Recognition and Disambiguation using Linked Data and Graph-based Centrality Scoring”, SIGMOD, SWIM 2012, 2012, pp.4.
PUB | PDF
 

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