News

News

  • Oct 1, 2022 — I joined the Natural Language Processing Group at the Audio and Media Technologies division of Fraunhofer IIS as a Senior Researcher.
  • Nov 10, 2021 — Our book “Computational Analysis of Storylines: Making Sense of Events” (edited by Tommaso Caselli, Eduard Hovy, Martha Palmer, and Piek Vossen) has been published by Cambridge University Press, where I authored the chapter on “Event Causality“.
  • Aug 26, 2021 — Our paper “PRIDE: Predicting Relationships in Conversations” (with Anna Tigunova, Andrew Yates and Gerhard Weikum) has been accepted at EMNLP 2021.
  • June 23, 2021 — Our workshop proposal “Personal Knowledge Graphs” (with Krisztian Balog, Zhilin Wang and Martin Georg Skjæveland) has been accepted at AKBC 2021. More details: https://pkgs.ws/
  • May 6, 2021 — Our paper “AligNarr: Aligning Narratives on Movies” (with Mostafa Abouhamra and Gerhard Weikum) has been accepted at ACL-IJCNLP 2021 (acceptance rate: 21.3%).
More… “News”
About

About

Paramita Mirza is a Senior Researcher at the Natural Language Processing Group, Audio and Media Technologies, Fraunhofer Institute for Integrated Circuits IIS. She is part of the Allinga project, offering data-secure speech solutions for professional environments. She received her PhD degree from the University of Trento, Italy in spring 2016. Her 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. Her current research interests include causation and commonsense knowledge harvesting, personal knowledge extraction, semantics of numbers in natural language texts, and enhancing voice assistant solutions with commonsense and personal knowledge. This particular interest in computational linguistics is motivated by her background in computer science and passion about human language.