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paramitamirza

Max-Planck-Institut für Informatik
Department 5: Databases and Information Systems
Saarland Informatics Campus
Building E1.4, Room 420
66123 SaarbrückenGermany

Email: paramita135[at]gmail.com  or  paramita[at]mpi-inf.mpg.de
Phone: +49 681 9325 5020

MPI Homepage: people.mpi-inf.mpg.de/~paramita/

News

  • Aug 13, 2019 — Our paper “KnowledgeNet: A Benchmark Dataset for Knowledge Base Population” (with Filipe Mesquita, Matteo Cannaviccio, Jordan Schmidek and Denilson Barbosa) has been accepted at EMNLP-IJCNLP 2019 (acceptance rate: 23.8%).
  • Aug 13, 2019 — Our paper “Coverage of Information Extraction from Sentences and Paragraphs” (with Simon Razniewski, Nitisha Jain and Gerhard Weikum) has been accepted at EMNLP-IJCNLP 2019 (acceptance rate: 23.8%).
  • Jan 21, 2019 — Our paper “Listening between the Lines: Learning Personal Attributes from Conversations” (with Anna Tigunova, Andrew Yates and Gerhard Weikum) has been accepted as a FULL PAPER at The Web Conference (WWW) 2019 (acceptance rate: 18%).
  • May 25, 2018 — Our paper “Enriching Knowledge Bases with Counting Quantifiers” (with Simon Razniewski, Fariz Darari and Gerhard Weikum) has been accepted to the research track of ISWC 2018.
  • April 29, 2018 — The abridged version of our ISWC 2017 paper “Completeness-aware Rule Learning from Knowledge Graphs” (with Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski and Gerhard Weikum) has been accepted to the “Sister Conference Best Paper Track” at IJCAI 2018.

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About Me

I am currently a postdoctoral researcher at the Max Planck Institute for Informatics. I received my PhD degree from the University of Trento in spring 2016. Under the supervision of Sara Tonelli, my PhD research focused on extracting temporal and causal relations between events from natural language texts, as part of the NewsReader project. My master’s research focuses on how to computationally represent the semantics of nouns and verbs with the distributional semantic models. My current research interests include common sense knowledge harvesting from unstructured texts 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.