News

News

  • 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%).
  • Dec 18, 2020 — Recognized as one of outstanding reviewers for EMNLP 2020.
  • Nov 29, 2020 — Our demo paper “Exploring Personal Knowledge Extraction from Conversations with CHARM” (with Anna Tigunova, Andrew Yates and Gerhard Weikum) has been accepted at WSDM 2021.
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About

About

Paramita Mirza is a postdoctoral researcher at the Max Planck Institute for Informatics in Saarbrücken, Germany. 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, emotional aspect of relation extraction and the semantics of numbers in natural language texts. This particular interest in computational linguistics is motivated by her background in computer science and passion about human language.