NLP and CSS researcher. Assistant Professor at @WilliamsCollege. @allen_ai alum, @UMass_NLP alum. she/her

Joined September 2014
Congratulations to our very own Dr. Tanise Ceron for successfully defending her PhD on "Methods for Mining Political Opinions from Texts & Language Models". 🥳 #NLProc #NLP Check out her amazing work here: tceron.github.io/publication… @taniseceron 📚 #PhDDefense #AcademicResearch
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Katie Keith retweeted
🚨Reminder: our deadline is fast approaching. Submit your papers by tomorrow, March 24 (EoD AoE) sites.google.com/site/nlpand…
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Katie Keith retweeted
Our submission deadline is still about 1.5 months away (March 24th), but in case it's not yet in your calendars: here's your reminder ;) sites.google.com/site/nlpand…
🚨 We are back! Our workshop returns next year at #NAACL24. Watch this space for more details
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"portrait of a postdoc"
Hi DALL-E. Create a photograph of a PhD student working on a single paper for an upcoming conference deadline. 2 papers 10 papers 100 papers
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Katie Keith retweeted
Today, @NaitianZhou and I are happy to release another episode of the podcast Diaries of Social Data Research, ft. @c_baden (Hebrew University of Jerusalem), @christianpipal (University of Zurich), and @MarikenVelden (Vrije Universiteit Amsterdam). 🧵
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Reminder - for the terrific interdisciplinary Text as Data conference, abstract submissions coming up - due Aug 4! tada2023.org/ It's a great, small, non-archival conference to discuss emerging work with folks across social sciences, humanities, and computer science.
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Are you curious about the harms AI is or is not causing in the world? Check out the AI Incident Database, which you can contribute to as well. incidentdatabase.ai/
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Katie Keith retweeted
Jargon can be a necessary tool for researchers in specialized fields to communicate—but can also make that research inaccessible to broader audiences. In their #ACL2023 Findings paper @lucy3_li, @JesseDodge, @dbamman + @katakeith uncover impacts of jargon: blog.allenai.org/words-as-ga…
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Katie Keith retweeted
This CSCW paper gives insight into YouTube's demonetization algorithm: 1 larger channels ~ preferential treatment, 2 demonetized videos ~ fewer views, 3 political videos ~ low demonetization rate doi.org/10.1145/3555209 cc: @katakeith @rishabn_ @coffeebreak_YT @EthanZ
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Katie Keith retweeted
We received 59 submissions (thanks to all authors!) and are busy with reviewing. Notifications will come out October 14th, so stay tuned
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Katie Keith retweeted
Join us at Text As Data (TADA 🪄) 2022 at Cornell Tech in NYC on Oct 6-7! In addition to a stellar lineup of talks and posters we will have keynote speaker @juliasilge. Please RT!
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Happy to share that our paper: Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Is now officially accepted to the Transactions of the ACL (TACL), and an updated version is at: arxiv.org/abs/2109.00725
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Katie Keith retweeted
Since early 2021, many researchers have shared the stories behind their papers to @katakeith and me. Our 20th episode will conclude our podcast series, Diaries of Social Data Research. For this final episode, we'd like to consider submissions from you! forms.gle/eoqzVhdk9uorTaiA9
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Williams will become the first college in the country to totally eliminate loans as well as required campus and summer jobs from all of its financial aid packages. The components will be replaced with equivalent grant funds. Read the full announcement: bit.ly/3KGWKov
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Katie Keith retweeted
for those wondering about "cherry picking" #dalle completions... here are the first 10 samples for "watercolor and pencil researcher cherry-picking the perfect result to show off to her colleagues" thanks to @universeinanegg for the meta prompt+qualitative test idea :-)
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Are you an undergrad/post-grad interested in applied research on race & media representation? Come work with me & @JStarck4 for the first-ever @StanfordSPARQ Summer Research Opportunity! Applications due April 22nd sparq.stanford.edu/summer-re…
Katie Keith retweeted
Thanks to everyone who joined @katakeith's #NLProc tutorial today about propagating probability during text classification! I am 90% confident that it was one of my favorites. You can get the video here (youtube.com/watch?v=snBaBuXK…) and the code here (colab.research.google.com/dr…)!
If you're an #NLProc researcher and want to measure a complicated concept like "outrage" in text, how do you account for the uncertainty in your data and your models? Check out @katakeith's tutorial on 3/30 at 12 PM to find out! RSVP here: forms.gle/68r5jTp1k65mnytEA
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