If you are at EMNLP 2020 and want to talk, reach out on Twitter (@vin_mathur), and let’s meet up!
I like solving impactful natural language understanding problems. As a ML Data Scientist at EBSCO, I am working on extracting structured knowledge from millions of academic publishings and making scientific knowledge more accessible to the world.
I gained my chops working with Prof. Andrew McCallum and the IESL lab at the University of Massachusetts Amherst – resolving polysemy and inducing lexical frames.
Before moving to UMass I worked on knowledge graphs and conversation agents as part of my bachelor dissertation at the Machine and Language Learning Lab at the Indian Institute of Science under the guidance of Dr Partha P Talukdar.
When not praying to the optimization Gods, you can find me sailing on the Charles river trying to practise my broken Italian.
Latest News:
- Presenting HCA-DBSCAN at the Sets and Partitions workshop @ NeurIPS 2019, come say hi!
- 2/1: Talk with my co-authors at the University of Massachusetts on our paper – Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings
- Keynote speaker at the Manipal University Python Developer Conference talking about the evolution of word embeddings.
- Kdnuggets just wrote a blog post about our work
- Our work on Word Sense Induction got featured on the University of Massachusetts website.
- Our NAACL workshop paper got talked about in the press
- Started working at Samsung Research America as a Data Science Intern. I am building a recommendation engine for Samsung News.