Paramita Mirza

Paramita Paramita (Paramita Mirza)

Max-Planck-Institut für Informatik
Department 5: Databases and Information Systems
 office: Campus E1 4, Room 420
Saarland Informatics Campus
66123 Saarbrücken
 email: Get my email address via email
 phone: +49 681 9325-5020
 personal homepage:


I am currently a postdoctoral researcher at the Max Planck Institute for Informatics in Saarbrücken, Germany. I received my PhD degree from the University of Trento, Italy in spring 2016. My PhD research focused on extracting temporal and causal relations between events from natural language texts, as part of the NewsReader project, with the ultimate goal of the automatic creation of event timelines from large volumes of news texts. My current research interests include causation and common sense knowledge harvesting, emotional aspect of relation extraction and the semantics of numbers in natural language texts. This particular interest in computational linguistics is motivated by my background in computer science and passion about human language.


  • July 14, 2017 -- Our paper "Completeness-aware Rule Learning from Knowledge Graphs" (with Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski and Gerhard Weikum) has been accepted at ISWC 2017
  • June 27, 2017 -- Giving a talk "Mining Temporal and Causal Relations From Text" as part of invited lecture series at the Department of Linguistics, Ruhr-Universitaet Bochum
  • March 31, 2017 -- Our short paper "Cardinal Virtues: Extracting Relation Cardinalities from Text" (with Simon Razniewski, Fariz Darari and Gerhard Weikum) has been accepted at ACL 2017
  • December 11-16, 2016 -- Attending COLING 2016 in Osaka, Japan
  • October 17-21, 2016 -- Attending ISWC 2016 in Kobe, Japan

Short CV



More details in my CV.


Google Scholar, DBLP, ACL


  • P. Mirza and S.Tonelli. 2016. On the contribution of word embeddings to temporal relation classification. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, Osaka, Japan, December.[pdf] [bib]
  • P. Mirza and S.Tonelli. 2016. CATENA: CAusal and TEmporal relation extraction from NAtural language texts. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, Osaka, Japan, December.[pdf] [bib]
  • P. Mirza, S. Razniewski, W. Nutt. 2016. Expanding Wikidata's Parenthood Information by 178%, or How To Mine Relation Cardinalities. In Proceedings of the ISWC 2016 Posters & Demonstrations Track, Kobe, Japan, October. [pdf] [bib]


  • P. Mirza and A. Minard. 2015. HLT-FBK: a Complete Temporal Processing System for QA TempEval. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 801–805, Denver, Colorado, June. [pdf] [bib]
  • P. Mirza. 2015. Recognizing and Normalizing Temporal Expressions in Indonesian Texts. In Proceedings of Pacific Association for Computational Linguistics (PACLING) 2015, Bali, Indonesia, May. [pdf]


  • P. Mirza and A. Minard. 2014. FBK-HLT-time: a complete Italian Temporal Processing system for EVENTI-Evalita 2014. In Proceedings of the 4th International Workshop EVALITA-2014, pages 44–49, Pisa, Italy, December.
  • P. Mirza and S. Tonelli. 2014. An Analysis of Causality between Events and its Relation to Temporal Information. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pages 2097–2106, Dublin, Ireland, August. [pdf] [ppt] [bib]
  • P. Mirza. 2014. Extracting Temporal and Causal Relations between Events. In Proceedings of the ACL 2014 Student Research Workshop, pages 10--17, Baltimore, MD, United States, June. [pdf] [ppt] [bib] []
  • P. Mirza and S. Tonelli. 2014. Classifying Temporal Relations with Simple Features. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 308--317, Gothenburg, Sweden, April. [pdf] [poster] [bib]
  • P. Mirza, R. Sprugnoli, S. Tonelli and M. Speranza. 2014. Annotating causality in the TempEval-3 corpus. In Proceedings of the EACL 2014 Workshop on Computational Approaches to Causality in Language (CAtoCL), pages 10--19, Gothenburg, Sweden, April. [pdf] [ppt] [bib]


  • P. Mirza and R. Bernardi. 2013. CCG Categories for Distributional Semantic Models. In Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013, pages 467--474, Hissar, Bulgaria, September. [pdf] [bib]
  • Ognjen Savković, P. Mirza, Alex Tomasi, and Werner Nutt. 2013. Complete approximations of incomplete queries. Proc. VLDB Endow. 6, 12 (August 2013), 1378-1381. [pdf]

2008 - 2012

  • O. Savković, P. Mirza, S. Paramonov, and W. Nutt. 2012. MAGIK: managing completeness of data. In Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12). ACM, New York, NY, USA, 2725-2727. [pdf]
  • D. H. Widyantoro, A. Purwarianti and P. Mirza. 2008. Information Extraction Using SVM Uneven Margin for Multilanguage Document. In Proceedings of the 4th International Conference on Information & Communication Technology and Systems (ICTS), pages 249--253, Surabaya, Indonesia. [pdf]