News

News

  • Feb 13, 2020 — Our paper “RedDust: a Large Reusable Dataset of Reddit User Traits” (with Anna Tigunova, Andrew Yates and Gerhard Weikum) has been accepted at LREC 2020.
  • Sep 17, 2019 — Our paper “Discovering the Functions of Language in Online Forums” (with Youmna Ismaeil and Oana Balalau) has been accepted at W-NUT 2019: Workshop on Noisy User-generated Text (at EMNLP-IJCNLP 2019).
  • Sep 16, 2019 — Awarded a $5,000 Google Cloud Platform (GCP) research credit grant for research proposal on “CArPeT: Conversational Agent for Personalized Travel” .
  • 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%).
More… “News”
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.