Olga Vechtomova

Associate Professor
Faculty of Engineering
School of Computer Science (cross-appointment)
University of Waterloo


I lead the Natural Language Processing (NLP) Lab, affiliated with the Waterloo.AI Institute. The research in my lab is mainly focused on designing deep neural networks for natural language generation. The current and recent projects include controlled text generation, text style transfer and artistic applications of text generative models.

Here is a link to my ResearchGate page.


October 2019: The tutorial "Stylized Text Generation: Approaches and Applications" (with Lili Mou) was accepted at ACL 2019

July 2019: The paper "Novelty and Diversity In Information Retrieval Evaluation" received ACM SIGIR Test of Time Award.

May 2019: The paper "Disentangled Representation Learning for Non-Parallel Text Style Transfer" was accepted at ACL 2019.

March 2019: The paper "Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation" was accepted at NAACL-HLT 2019.

January 2019: Media: a news article about our lyrics generation research was published in TechXplore.

January 2019: Media: a CBC radio interview about my lyrics generation work.

November 2018: My collection of AI poetry was accepted as artwork at NeurIPS 2018 Workshop on Machine Learning for Creativity and Design.

February 2018: I received Amazon Research Award for the project "Task-based latent semantic information retrieval".

August 2017: NVIDIA Corporation donated Titan Xp GPU to the NLP Lab in support of our research on Text Style Transfer.

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