[AI Seminar] AI Seminar sponsored by Apple -- Adams Wei Yu -- May 08

[Adams Wei Yu]

A gentle reminder that the talk will be tomorrow (Tuesday) noon in *GHC
6115.*

On Sun, May 6, 2018 at 2:51 PM, Adams Wei Yu <weiyu at cs.cmu.edu> wrote:

> Dear faculty and students,
>
> We look forward to seeing you next Tuesday, May 08, at noon in *GHC 6115* for
> AI Seminar sponsored by Apple. To learn more about the seminar series,
> please visit the AI Seminar webpage <http://www.cs.cmu.edu/~aiseminar/>.
>
> On Tuesday, Adams Wei Yu <http://www.cs.cmu.edu/~weiyu/> will give the
> following talk:
>
> Title: Efficient and Effective Models for Machine Reading Comprehension
>
> Abstract:
>
> Machine reading comprehension has attracted lots of attentions in the AI,
> ML and NLP communities. In this talk, I will introduce two efficient and
> effective models to approach this task.
>
> Firstly, I will propose a model, LSTM-Jump, that can skip unimportant
> information in sequential data, mimicking the skimming behavior of human
> reading. Trained with an efficient reinforcement learning algorithm, this
> model can be several times faster than a vanilla LSTM in inference time.
>
> Then I will introduce a sequence encoding method that discards recurrent
> networks, which thus fully supports parallel training and inference. Based
> on this technique, a new question-answering model, QANet, is proposed.
> Combined with data augmentation approach via backtranslation, this model
> achieves No.1 performance in the competitive Stanford Question and Answer
> Dataset (SQuAD), while being times faster than the prevalent models.
> Notably, the exact match score of QANet has exceeded human performance.
>
> The talk is based on the following two works:
> 1. http://aclweb.org/anthology/P17-1172
> 2. https://arxiv.org/pdf/1804.09541.pdf
>
>
>
>
>
>
>
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