Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
@agoldst@mastodon.social That's interesting -- thinking about other lexical terms that do that kind of boundary work, "model", "structural"
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
@agoldst@mastodon.social "'form' is in the typical close reading a very loosely defined term, including almost anything that interests the close reader" -- "form" is the one word whose multiplicity of vague senses I kept thinking about throughout @lucy@sigmoid.social's work on https://arxiv.org/pdf/2212.09676.pdf
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
@agoldst@mastodon.social Excellent, thank you! I have the start of a summer reading list
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
New paper out today, asking: What books has ChatGPT/GPT-4 *memorized*? A LOT. Harry Potter, Pride & Prejudice, 1984, LotR, Hunger Games, GoT, 50 Shades of Grey, Dune. Memorization is linked to web popularity--lots of old classics + new sci-fi/fantasy. This is a problem since some downstream tasks in NLP/DH do better on memorized books than non-memorized ones, leading to test contamination for questions in cultural analytics when the set of memorized books is unknown. https://arxiv.org/abs/2305.00118
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
@LauraNelson@mastodon.social Reticulated pythons are a big yes
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
With classes starting next week, my 8yo stopped by my office to leave some heat for all the college students. No calculators.
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
I declare ChatGPT to be a performance-enhancing substance for the greatest game: Taboo. All wins with it get an asterisk.
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
Headed to Abu Dhabi now for EMNLP, the Workshop on NLP + Computational Social Science (https://sites.google.com/site/nlpandcss/home/nlp-css-at-emnlp-2022), and the Workshop on Shared Stores and Lessons Learned (https://ssll-emnlp.github.io/schedule.html). Hope to see some of you there! (And if you are there and want to connect, let me know!)
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
Every time I check out a book from the stacks I realize I have absolutely no idea how this marvel of engineering works. This is, like, thousands of books!
Associate Professor, School of Information, UC Berkeley. Natural language processing, machine learning, computational social science, digital humanities.
Cooking to Bach’s Mass in B Minor, which continually blows me away as one of the highlights of human creation, especially the 1967 Klemperer version. https://open.spotify.com/track/0acnTnzvpm6MGFbaZmY8LF?si=Mm2x_v2jQgy5O6AMmMGp1g