Telecom Paris, Institut Polytechnique de Paris, France
Mehwish Alam is an Associate Professor at Télécom Paris, Institute Polytechnique de Paris in Language, Knowledge, and Artificial Intelligence. She has previously worked as a post-doctoral researcher at Karlsruhe Institute of Technology in Germany, National Research Center (CNR) in Italy, and Labortoire d’informatique Paris-Nord (LIPN) in France. She did her PhD at INRIA, Nancy Grand-Est, France. Her research areas include Knowledge Graphs, Machine Learning, and Natural Language Processing.
Talks and Events
Knowledge Graph Completion using Embeddings
Knowledge Graphs (KGs) are often generated automatically or manually which lead to KGs being in complete. Recent years have witnessed many studies on link prediction using KG embeddings which is one of the mainstream tasks in KG completion. Most of the existing methods learn the latent representation of the entities and relations whereas only a few of them consider contextual information as well as the textual/numeric descriptions of the entities. This talk will cover deep learning based methods for performing KG completion tasks such as link prediction and entity type prediction.
Track: Deep Learning for and with Knowledge Graphs
- Knowledge Graph Completion
- Neurosymbolic AI
- Machine Learning
- Deep Learning
- Knowledge Graphs