Researcher Portfolio

 
   

Abujabal, Abdalghani

Databases and Information Systems, MPI for Informatics, Max Planck Society  

 

Researcher Profile

 
Position: Databases and Information Systems, MPI for Informatics, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons123292

External references

 

Publications

 
 
 : Abujabal, A., Saha Roy, R., Yahya, M., & Weikum, G. (2019). ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters. In J. Burstein, C. Doran, & T. Solorio (Eds.), The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 307-317). Stroudsburg, PA: ACL. Retrieved from https://www.aclweb.org/anthology/N19-1027. [PubMan] : Christmann, P., Saha Roy, R., Abujabal, A., Singh, J., & Weikum, G. (2019). Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. In W. Zhu, & D. Tao (Eds.), CIKM '19 (pp. 729-738). New York, NY: ACM. doi:10.1145/3357384.3358016. [PubMan] : Lu, X., Pramanik, S., Saha Roy, R., Abujabal, A., Wang, Y., & Weikum, G. (2019). Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs. Retrieved from http://arxiv.org/abs/1908.00469. [PubMan] : Christmann, P., Saha Roy, R., Abujabal, A., Singh, J., & Weikum, G. (2019). Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. Retrieved from http://arxiv.org/abs/1910.03262. [PubMan] : Jia, Z., Abujabal, A., Saha Roy, R., Strötgen, J., & Weikum, G. (2019). TEQUILA: Temporal Question Answering over Knowledge Bases. Retrieved from http://arxiv.org/abs/1908.03650. [PubMan] : Lu, X., Pramanik, S., Saha Roy, R., Abujabal, A., Wang, Y., & Weikum, G. (2019). Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs. In B. Piwowarski, M. Chevalier, & É. Gaussier (Eds.), SIGIR '19 (pp. 105-114). New York, NY: ACM. doi:10.1145/3331184.3331252. [PubMan] : Abujabal, A. (2019). Question Answering over Knowledge Bases with Continuous Learning. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-27968. [PubMan] : Jia, Z., Abujabal, A., Saha Roy, R., Strötgen, J., & Weikum, G. (2018). TempQuestions: A Benchmark for Temporal Question Answering. In P.-A. Champin, F. Gandon, & L. Médini (Eds.), Companion of the World Wide Web Conference (pp. 1057-1062). New York, NY: ACM. doi:10.1145/3184558.3191536. [PubMan] : Jia, Z., Abujabal, A., Saha Roy, R., Strötgen, J., & Weikum, G. (2018). TEQUILA: Temporal Question Answering over Knowledge Bases. In A. Cuzzocrea, J. Allan, N. Paton, D. Srivastava, R. Agrawal, A. Broder, M. Zaki, S. Candan, A. Labrinidis, A. Schuster, & H. Wang (Eds.), CIKM'18 (pp. 1807-1810). New York, NY: ACM. doi:10.1145/3269206.3269247. [PubMan] : Abujabal, A., Saha Roy, R., Yahya, M., & Weikum, G. (2018). Never-Ending Learning for Open-Domain Question Answering over Knowledge Bases. In P.-A. Champin, F. Gandon, L. Médini, M. Lalmas, & P. G. Ipeirotis (Eds.), Proceedings of the World Wide Web Conference (pp. 1053-1062). New York, NY: ACM. doi:10.1145/3178876.3186004. [PubMan] : Abujabal, A., Saha Roy, R., Yahya, M., & Weikum, G. (2018). ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters. Retrieved from http://arxiv.org/abs/1809.09528. [PubMan] : Ziegler, D., Abujabal, A., Saha Roy, R., & Weikum, G. (2017). Efficiency-aware Answering of Compositional Questions using Answer Type Prediction. In The 8th International Joint Conference on Natural Language Processing (pp. 222-227). Asian Federation of Natural Language Processing. Retrieved from http://aclweb.org/anthology/I17-2038. [PubMan] : Abujabal, A., Saha Roy, R., Yahya, M., & Weikum, G. (2017). QUINT: Interpretable Question Answering over Knowledge Bases. In The Conference on Empirical Methods in Natural Language Processing (pp. 61-66). Stroudsburg, PA: ACL. Retrieved from http://aclweb.org/anthology/D17-2011. [PubMan] : Abujabal, A., Yahya, M., Riedewald, M., & Weikum, G. (2017). Automated Template Generation for Question Answering over Knowledge Graphs. In WWW'17 (pp. 1191-1200). New York, NY: ACM. doi:10.1145/3038912.3052583. [PubMan] : Nguyen, D. B., Abujabal, A., Tran, N. K., Theobald, M., & Weikum, G. (2017). Query-Driven On-The-Fly Knowledge Base Construction. Proceedings of the VLDB Endowment, 11(1), 66-79. doi:10.14778/3136610.31366. [PubMan] : Abujabal, A. (2015). Mining Past, Present, and Future. Master Thesis, Universität des Saarlandes, Saarbrücken. [PubMan] : Del Corro, L., Abujabal, A., Gemulla, R., & Weikum, G. (2015). FINET: Context-Aware Fine-Grained Named Entity Typing. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (pp. 868-878). Stroudsburg, PA: ACL. Retrieved from https://aclweb.org/anthology/D/D15/D15-1103. [PubMan] : Abujabal, A., & Berberich, K. (2015). Important Events in the Past, Present, and Future. In WWW'15 Companion (pp. 1315-1320). New York, NY: ACM. doi:10.1145/2740908.2741692. [PubMan]