13 Publikationen

Alle markieren

[13]
2019 | Bielefelder E-Dissertation | PUB-ID: 2935619
Hakimov, S., 2019. Learning Multilingual Semantic Parsers for Question Answering over Linked Data. A comparison of neural and probabilistic graphical model architectures, Bielefeld: Universität Bielefeld.
PUB | PDF
 
[12]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933089
Hakimov, S., Jebbara, S., & Cimiano, P., 2019. 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
 
[11]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913141
Hakimov, S., Jebbara, S., & Cimiano, P., 2017. AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data. In C. d'Amato, M. Fernandez, & V. Tamma, eds. The Semantic Web - ISWC 2017. 16th International Semantic Web Conference. Proceedings. Lecture Notes in Computer Science. no.10587 Cham: Springer, pp. 329-346.
PUB | PDF | DOI
 
[10]
2017 | Datenpublikation | PUB-ID: 2912802
Hakimov, S., et al., 2017. Research Data - Towards a Large Corpus of Richly Annotated Web Tables for Knowledge Base Population, Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[9]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913458
Ell, B., et al., 2017. 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
 
[8]
2016 | Datenpublikation | PUB-ID: 2902978
Hakimov, S., et al., 2016. Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models, Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[7]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552
Hakimov, S., et al., 2016. 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. no.10024 Springer, pp. 288-302.
PUB | PDF | DOI
 
[6]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904967
Ell, B., Hakimov, S., & Cimiano, P., 2016. Statistical Induction of Coupled Domain/Range Restrictions from RDF Knowledge Bases. In Proceedings of the 15th International Semantic Web Conference.
PUB | PDF
 
[5]
2015 | Datenpublikation | PUB-ID: 2715997
Hakimov, S., et al., 2015. Applying Semantic Parsing to Question Answering over Linked Data: Addressing the Lexical Gap - Data, Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[4]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2760642
Hakimov, S., et al., 2015. Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap. In C. Biemann, et al., 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. no.9103 Springer International Publishing, pp. 103-109.
PUB | PDF | DOI
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715998
Dogdu, E., Hakimov, S., & Yumusak, S., 2014. A Data-Model Driven Web Application Development Framework. In Proc. of the 52nd ACM Southeast Conference.
PUB | PDF
 
[2]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2657454
Hakimov, S., et al., 2013. Semantic Question Answering System over Linked Data using Relational Patterns. In EDBT/ICDT LWDM 2013.
PUB | PDF
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2657450
Hakimov, S., Oto, S.A., & Dogdu, E., 2012. Named Entity Recognition and Disambiguation using Linked Data and Graph-based Centrality Scoring. In SIGMOD, SWIM 2012. pp. 4.
PUB | PDF
 

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: harvard1

Export / Einbettung

13 Publikationen

Alle markieren

[13]
2019 | Bielefelder E-Dissertation | PUB-ID: 2935619
Hakimov, S., 2019. Learning Multilingual Semantic Parsers for Question Answering over Linked Data. A comparison of neural and probabilistic graphical model architectures, Bielefeld: Universität Bielefeld.
PUB | PDF
 
[12]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933089
Hakimov, S., Jebbara, S., & Cimiano, P., 2019. 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
 
[11]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913141
Hakimov, S., Jebbara, S., & Cimiano, P., 2017. AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data. In C. d'Amato, M. Fernandez, & V. Tamma, eds. The Semantic Web - ISWC 2017. 16th International Semantic Web Conference. Proceedings. Lecture Notes in Computer Science. no.10587 Cham: Springer, pp. 329-346.
PUB | PDF | DOI
 
[10]
2017 | Datenpublikation | PUB-ID: 2912802
Hakimov, S., et al., 2017. Research Data - Towards a Large Corpus of Richly Annotated Web Tables for Knowledge Base Population, Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[9]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913458
Ell, B., et al., 2017. 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
 
[8]
2016 | Datenpublikation | PUB-ID: 2902978
Hakimov, S., et al., 2016. Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models, Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[7]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552
Hakimov, S., et al., 2016. 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. no.10024 Springer, pp. 288-302.
PUB | PDF | DOI
 
[6]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904967
Ell, B., Hakimov, S., & Cimiano, P., 2016. Statistical Induction of Coupled Domain/Range Restrictions from RDF Knowledge Bases. In Proceedings of the 15th International Semantic Web Conference.
PUB | PDF
 
[5]
2015 | Datenpublikation | PUB-ID: 2715997
Hakimov, S., et al., 2015. Applying Semantic Parsing to Question Answering over Linked Data: Addressing the Lexical Gap - Data, Bielefeld University.
PUB | Dateien verfügbar | DOI
 
[4]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2760642
Hakimov, S., et al., 2015. Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap. In C. Biemann, et al., 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. no.9103 Springer International Publishing, pp. 103-109.
PUB | PDF | DOI
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715998
Dogdu, E., Hakimov, S., & Yumusak, S., 2014. A Data-Model Driven Web Application Development Framework. In Proc. of the 52nd ACM Southeast Conference.
PUB | PDF
 
[2]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2657454
Hakimov, S., et al., 2013. Semantic Question Answering System over Linked Data using Relational Patterns. In EDBT/ICDT LWDM 2013.
PUB | PDF
 
[1]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2657450
Hakimov, S., Oto, S.A., & Dogdu, E., 2012. Named Entity Recognition and Disambiguation using Linked Data and Graph-based Centrality Scoring. In SIGMOD, SWIM 2012. pp. 4.
PUB | PDF
 

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: harvard1

Export / Einbettung