1 code implementation • 28 Mar 2024 • Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Joan Giner-Miguelez, Nitisha Jain, Michael Kuchnik, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Pierre Ruyssen, Rajat Shinde, Elena Simperl, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Steffen Vogler, Carole-Jean Wu
Data is a critical resource for Machine Learning (ML), yet working with data remains a key friction point.
1 code implementation • 15 Sep 2023 • Bohui Zhang, Ioannis Reklos, Nitisha Jain, Albert Meroño Peñuela, Elena Simperl
In this work, we explore the use of Large Language Models (LLMs) for knowledge engineering tasks in the context of the ISWC 2023 LM-KBC Challenge.
no code implementations • 17 Feb 2022 • Nitisha Jain, Ralf Krestel
To do this, we leverage the types of the entities associated with the relations and cluster the vector representations of entities and relations.
no code implementations • LREC 2020 • Christian Bartz, Nitisha Jain, Ralf Krestel
In this project description, we propose an approach to retrieve the associations between images and texts for artworks from art-historic archives.
no code implementations • IJCNLP 2019 • Simon Razniewski, Nitisha Jain, Paramita Mirza, Gerhard Weikum
Scalar implicatures are language features that imply the negation of stronger statements, e. g., {``}She was married twice{''} typically implicates that she was not married thrice.