WingNews logo WingNews GitHub [2]

jkdufair's comments

jkdufair | 3 years ago | on: Judge decides against Internet Archive

Whether or not someone is allowed to distribute creative works without the permission of the author, the point of copyright, is and will contribute to be independent of the technology used to do the distribution.

jkdufair | 3 years ago | on: Judge decides against Internet Archive

I don’t disagree with the ruling. IA is not lending their copy that they purchased. They are lending a copy of their copy. While that copy is lent out, they are still free to, I.e. read the copy in their possession.

jkdufair | 6 years ago | on: SoundCloud raises $75M from SiriusXM

It is indeed surprising to me that people can tolerate the low bitrate sound. I would consider subscribing but I can’t stand to actually listen. Do subscribers get a higher bitrate? My impression is that it’s a limitation of the satellite signal bandwidth and the number of channels they cram into it.

jkdufair | 6 years ago | on: My productivity app for the past 12 years has been a single .txt file

As a die hard Emacser, I’ve always been drawn to the idea of plain text productivity. What keeps me using apps like Todoist and Calendar.app is I am unaware of a way to have location-based reminders, collaborative to-do lists, and shared calendars. Is anyone doing this with plain text?

jkdufair | 6 years ago | on: Update on free software and telemetry

That sounds like recipe for near-zero participation. I think both the intent and execution are spot-on here for GitLab. They are offering a very straightforward option for using GitLab, telemetry-free.

jkdufair | 6 years ago | on: What ORMs have taught me: just learn SQL (2014)

I would have generally agreed with this sentiment until we took a leap of faith and chose Entity Framework 4-5 years ago. That, coupled with the power of LINQ has allowed us to do things we simply wouldn’t be able to do otherwise. Pass IQueryables around without realizing them right away. This leads to functional, composable queries. And the queries we generate would simply not be possible to be written by hand. If we need to write SQL, we can and do. But with good design and good indexes, we rarely, if ever, do. I was skeptical, but EF is a tool we have not regretted.

jkdufair | 6 years ago | on: Flawed Algorithms Are Grading Millions of Students’ Essays

It's an internal grant and I'm not sure I'd be allowed to share it. We are adding AES to our peer-review app. Currently as an additional "grader" to the peer reviews since that's what the PI requested. Since the tool allows unlimited submissions until the review date, I hope to add it as a "pre-flight" estimate to give students a chance to get a rough prediction of the score they will receive and a metric they can use as they revise until the due date.

I'm not aware of any meta-analyses myself. I have been keeping up with the ASAP competition and various attempts to improve on the initial systems for a number of years. The two papers I believe are having the most success are [1] and [2]. [3] seems promising for balancing the opposing forces of high accuracy for true positives and the risk of false positives via adversarially crafted inputs.

I'm also vaguely aware of research happening around extracting features from neural nets. I'd love to be able to help students understand why the system is predicting a particular score.

[1] https://www.aclweb.org/anthology/D16-1193 [2] https://arxiv.org/pdf/1606.04289.pdf [3] https://arxiv.org/pdf/1804.06898.pdf

jkdufair | 6 years ago | on: Flawed Algorithms Are Grading Millions of Students’ Essays

I have a grant where were are doing just that. Implementing more or less SOTA research using fairly vanilla LSTM networks from 2-3 years ago (primarily Taghipour & Ng) to provide low stakes feedback to students on their essays in one of our teaching tools at Purdue. It’s based on research using the Kaggle ASAP database and we have found it to be pretty accurate across a variety of domains in early testing. Though some essay prompts seem to do better with CNNs vs. RNNs. I doubt many of the systems in TFA are based on LSTMs or neural nets at all. They are probably doing regression on hand-crafted features.
page 1
more