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Books and Theses
- 2014
[b1]Rakebul Hasan:
Predicting query performance and explaining results to assist Linked Data consumption. (Prédire les performances des requêtes et expliquer les résultats pour assister la consommation de données liées). University of Nice Sophia Antipolis, France, 2014
Conference and Workshop Papers
- 2024
- [c9]Yongjian Tang, Rakebul Hasan, Thomas A. Runkler:
FsPONER: Few-Shot Prompt Optimization for Named Entity Recognition in Domain-Specific Scenarios. ECAI 2024: 3757-3764 - 2022
- [c8]Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp:
Named Entity Recognition in Industrial Tables using Tabular Language Models. EMNLP (Industry Track) 2022: 348-356 - 2014
- [c7]Rakebul Hasan, Fabien Gandon
:
Predicting SPARQL Query Performance. ESWC (Satellite Events) 2014: 222-225 - [c6]Rakebul Hasan:
Generating and Summarizing Explanations for Linked Data. ESWC 2014: 473-487 - [c5]Rakebul Hasan:
Predicting SPARQL Query Performance and Explaining Linked Data. ESWC 2014: 795-805 - [c4]Rakebul Hasan, Kemele M. Endris, Fabien Gandon:
SPARQL Query Result Explanation for Linked Data. SWCS@ISWC 2014 - [c3]Rakebul Hasan, Fabien Gandon:
A Machine Learning Approach to SPARQL Query Performance Prediction. WI-IAT (2) 2014: 266-273 - 2012
- [c2]Rakebul Hasan, Fabien Gandon:
Linking justifications in the collaborative semantic web applications. WWW (Companion Volume) 2012: 1083-1090 - 2010
- [c1]Marco Rospocher, Claudio Eccher, Chiara Ghidini, Rakebul Hasan, Andreas Seyfang, Antonella Ferro, Silvia Miksch:
Collaborative Encoding of Asbru Clinical Protocols. eHealth 2010: 135-143
Informal and Other Publications
- 2024
- [i2]Yongjian Tang, Rakebul Hasan, Thomas A. Runkler:
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios. CoRR abs/2407.08035 (2024) - 2022
- [i1]Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp:
Named Entity Recognition in Industrial Tables using Tabular Language Models. CoRR abs/2209.14812 (2022)
Coauthor Index
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