Discover and read the best of Twitter Threads about #ethNLP

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A few thoughts on citational practice and scams in the #ethicalAI space, inspired by something we discovered during my #ethNLP class today:

Today's topic was "language variation and emergent bias", i.e. what happens when the training data isn't representative of the language varieties the system will be used with.

The course syllabus is here, for those following along:…

Week by week, we've been setting our reading questions/discussion points for the following week as we go, so that's where the questions listed for this week come from.

Read 14 tweets
This is a really important paper for #NLProc, #ethNLP and #ethicalAI folks.

The authors look deep into a use case for text that is ungrounded in either the world or any commitment what's being communicated but nonetheless fluent, apparently coherent, and of a specified style. You know, exactly #GPT3's specialty.

What's that use case? The kind of text needed, and apparently needed in quantity, for discussion boards whose purpose is recruitment and entrenchment in extremist ideologies.

Read 10 tweets
Inspired by @yoavgo 's poll, I looked at the views for papers in three tracks -- Ethics, Summarization, and Theme (69 papers in total).

The median views per paper was 104.

In these three tracks, the most-viewed papers at time of writing are ... Image
1. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data by @emilymbender and @alkoller (961 views)

2. How Can We Accelerate Progress Towards Human-like Linguistic Generalization? by @tallinzen (410 views)
3. The Unstoppable Rise of Computational Linguistics in Deep Learning by @JamieBHenderson (356 views)

4. (Re)construing Meaning in NLP by @Sean_Trott @TorrentTiago @nancy_c_chang @complingy (291 views)
Read 6 tweets

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