natural language processing blog

my biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.)

12 December 2016

Should the NLP and ML Communities have a Code of Ethics?

At ACL this past summer, Dirk Hovy and Shannon Spruit presented a very nice opinion paper on Ethics in NLP. There's also been a great su...

09 December 2016

Whence your reward function?

I ran a grad seminar in reinforcement learning this past semester , which was a lot of fun and also gave me an opportunity to catch up on so...

28 November 2016

Workshops and mini-conferences

I've attended and organized two types of workshops in my time, one of which I'll call the ACL-style workshop (or "mini-conferen...

08 November 2016

Bias in ML, and Teaching AI

Yesterday I gave a super duper high level 12 minutes presentation about some issues of bias in AI. I should emphasize (if it's not cl...

02 November 2016

ACL 2017 PC Chairs Blog

In case you missed it, Regina Barzilay and Min-Yen Kan, who are program chairs for ACL 2017, are running an open blog describing what they...

24 August 2016

Debugging machine learning

I've been thinking, mostly in the context of teaching, about how to specifically teach debugging of machine learning. Personally I find ...

16 August 2016

Feature (or architecture) ablation

I wrote my first (and only) coreference paper back in 2005. At the time, my goals were to (a) do well on coref, (b) integrate background kn...

14 August 2016

Some papers I liked at ACL 2016

A conference just ended, so it's that time of year! Here are some papers I liked with the usual caveats about recall. Before I go to t...

05 August 2016

Fast & easy baseline text categorization with vw

About a month ago, the paper Bag of Tricks for Efficient Text Categorization was posted to arxiv. I found it thanks to Yoav Goldberg's ...

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hal

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