Hi everyone!
This week at the Applied Statistics Workshop we will be welcoming *Tianxiao
Shen*, a graduate student at MIT. She will be presenting work entitled*
Language Style Transfer*. Please find the abstract below and on the
Applied Stats website here
<https://projects.iq.harvard.edu/applied.stats.workshop-gov3009>.
As usual, we will meet at noon in CGIS Knafel Room 354 and lunch will be
provided. See you all there!
-- Dana Higgins
*Title:* *Language Style Transfer*
*Abstract:* Recent advances in text generation tasks such as machine
translation and summarization rely on the use of massive amounts of
parallel data, which is costly to collect or nonexistent in many scenarios.
In this talk, I will present a novel model to perform style transfer on the
basis of non-parallel text. This is an instance of a broad family of
problems including machine translation, decipherment, and sentiment
modification. I will talk about how we deal with the challenge to
disentangle content from style, as well as the techniques we use for
adversarial training over discrete samples. I will conclude with the
experiments we design which allow qualitative and quantitative evaluation
of the effectiveness of our method.
Show replies by date