Johannes Welbl
j.welbl cs.ucl.ac.uk

I work in the intersection of Machine Learning and Natural Language Processing, and specifically on Machine Comprehension and Knowledge Base Inference. My goal is to build agents that read, comprehend, and reason with factual texts.

Recently I created two multi-step reading comprehension datasets based on Wikipedia and PubMed. Together with the Allen Institute for Artificial Intelligence, I also gathered a dataset of 13K+ Questions for Science QA.

Previously I looked into different embedding methods for Inference in Knowledge Bases, like Complex Vector Embeddings and Factorization Machines.

I am generally interested in understanding theoretical bridges between different Machine Learning models, and in how language and intelligence are interrelated.

I co-organise the South England NLP meetup.