One major issue with research in Q&A is that there is not a controlled but large-scale standard benchmark dataset available. There are a number of open-ended Q&A datasets, but they often require a system to have access to external resources. This makes it difficult for researchers to compare different models in a unified way. Recently, one such large-scale standard Q&A dataset was proposed by Hermann et al. (2015). In this dataset, a question comes along with a context of which one of the word is an answer to the question. And.. wait.. I just realized that I don’t have to
The Center for Data Science (CDS) at NYU has a weekly lunch seminar series. Each Monday, one speaker gives an (informal) presentation on any topic she/he wants to talk about, or at least so I thought. Anyways, I thought it would be a good chance to discuss with people (students, research fellows at CDS as well as faculty members from various departments all over NYU) what the interpretability of machine learning models means. I prepared a set of slides based on an excellent article <Statistical Modeling: The Two Cultures> by Leo Breiman. Instead of trying to write what I’ve talked
I was invited to give lectures on natural language processing with deep learning at the DENIS Summer School held in Espoo, Finland this year. It was really good to be back in Finland after 1.5 years (or more like 2 years, since I was travelling France and Italy half of the month I stayed there 1.5 years ago.) The weather was amazing, the sauna was pretty cool (shame I didn’t have enough time to enjoy it fully!) and it was great to meet the friends and former colleagues there. The Summer School itself was also great with some awesome talks
This autumn (2015), I am joining NYU as an assistant professor, jointly appointed at the Department of Computer Science (Courant Institute of Mathematical Sciences) and the Center for Data Science. Assuming all immigration-related issues happen without any trouble, I will start on 1 September. You can find my job talk slides here.
I recently give one lecture on how to use neural nets for natural language processing at the course <INF8225 – Intelligence artificielle : techniques probabilistes et d’apprentissage> at the École Polytechnique de Montréal. It was a very fun experience having extremely lively discussion with active students. The slides can be found at https://drive.google.com/file/d/0B16RwCMQqrtdNEhwbHN2bXJzdXM/view?usp=sharing.