![nyt x word aug 26 2017 nyt x word aug 26 2017](https://nyxcrossword.com/wp-content/uploads/2016/11/NYTimes2CFriday2CNovember42C2016_screenshot.png)
#NYT X WORD AUG 26 2017 PASSWORD#
The password for the website will be given during the first lecture. The more you vote, the better the ranking is. There is no guarantee that the top-voted topic will be the next to be discussed (but it is very likely). We will select topics based on votes and the general agenda of the course. We will use All Our Ideas to vote on topics. The focused part of the semester will include, in addition to paper reviews and discussions, implementation and analysis of core algorithms. This semester the focus topic will be reinforcement learning for NLP. In addition, we will dedicate a part of the semester to a deep dive into a single focus topic. Each meeting will start with a 10-15min presentation followed by a discussion.
![nyt x word aug 26 2017 nyt x word aug 26 2017](https://nyxcrossword.com/wp-content/uploads/2017/03/NYTimes2CSunday2CMarch122C2017TakingTheFifth_screenshot-526x510.png)
We will use CMT to read and review papers. Discussion of results will be done through research papers, and will include a class discussion and short paper reviews. In general, most topic discussions will include technical overview, data analysis, a classical result, and recent results. We will focus on research results, and every few meetings switch topics. In this course, we will study various topics in NLP. This applies to students on both campuses.
![nyt x word aug 26 2017 nyt x word aug 26 2017](https://nyxcrossword.com/wp-content/uploads/2017/02/NYTimes2CSunday2CFebruary122C2017DoTheSplits_screenshot.png)
If you can not bring a laptop, you will need to share a laptop with another student (this should work well for pairs). We will use laptops to broadcast content. Instructor: Yoav Artzi, (office hours by appointment)ĬMS, Piazza, Zoom (lectures), CMT (paper reviewing), AOI (topic voting)Īll students are asked to bring their laptops to class. Index Fall 2017 CS6741: Structured Prediction for NLP