Katie Keith

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

[IMS at University of Stuttgart @ims_stuttgart]

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:
https://t.co/nz4bJYfsSH
@taniseceron 📚 #PhDDefense #AcademicResearch

[Katie Keith @katakeith]

@strubell @WilliamsCollege Haha great pick @strubell. I see you also hiked to Stoney Ledge:) s

[Katie Keith @katakeith]

Our @WilliamsCollege computer science department is hiring TWO TENURE-TRACK FACULTY this cycle: https://t.co/eqgIPOCvY1

(1/4)

[Katie Keith @katakeith]

These were some of the many reasons I chose Williams. No institution is perfect, but this one checks a lot of boxes. Hope you can join us!

(4/4)

[Katie Keith @katakeith]

3. 5 out of 13 tenure-track CS faculty are women
4. Student body: 52% receive need-based financial aid (all grants) and over 40% identify as US students of color.

(3/4)

[Katie Keith @katakeith]

Why Williams?
1. Strives for high teaching standards with 2-1 course load
2. Emphasis on quality research, evidenced by faculty grant success https://t.co/e5HBtwW5NP

(3/4)

[Katie Keith @katakeith]

@emaadmanzoor Thanks @emaadmanzoor! Shout-out to my very sharp collaborators @r0ntu and Jacob Chen.

[Katie Keith @katakeith]

@lbiester23 This looks like a fantastic resource Laura! I might use your beam search stuff in my NLP class this fall 🙏

[Katie Keith @katakeith]

@umdcs @UofMaryland @MohitIyyer @gkaptchuk @HanShao16 Congrats @MohitIyyer !

[Katie Keith @katakeith]

I've reflected on this a bit "Annotator Uncertainty" portion of our earlier paper https://t.co/nVMiJmjES3. Also whether we should use a soft loss function in this tutorial of mine https://t.co/lSeOadO5tW.

[Katie Keith @katakeith]

At @nlpandcss, Naoki Egami “Using Large Language Model Annotations for the Social Sciences" talk, lots of questions about the assumptions of "annotators as ground truth." I think this is a really important question! Often disagreement is an inherently useful signal.

[Katie Keith @katakeith]

NLP+CSS workshop starting in minutes! Hope you can join us virtually or in person! @nlpandcss

[Katie Keith @katakeith]

I'm a bit biased 😀, but I found this a great read for those interested in text+causal inference!

[Katie Keith @katakeith]

We are only 5 days out of the @nlpandcss workshop and I am in-route to Mexico City 🇲🇽 #naacl2024!

Excited for the invited talks from Naoki Egami, @hego_py, and @maria_antoniak, and learning from the rest of our accepted authors! Program: https://t.co/mEq6lsfB1l

[Katie Keith @katakeith]

@maria_antoniak @CUBoulder Congrats!!!!

[Katie Keith @katakeith]

Exciting set of ideas and people coming from American Causal Inference Conference (ACIC) in Seattle this past week! Smaller conferences = more ideas sparked. Fantastic watching @r0ntu and my @WilliamsCollege undergraduate students share their work!

[Katie Keith @katakeith]

Rohit @r0ntu will also talk about the work during the New England Statistics Symposium on May 24 https://t.co/6iX9llpWJ1

[Katie Keith @katakeith]

Excited for two upcoming opportunities where we’ll talk about our TMLR paper (which was published this fall) “RCT Rejection Sampling for Causal Estimation Evaluation” with coauthors @SergeyFeldman @david__jurgens @turingmusician @r0ntu https://t.co/9VXqfPHlxe

[Katie Keith @katakeith]

I will talk about this work at ACIC at 9am tomorrow (May 16) during the the invited session “Statistical innovations in causal inference with text as data: Emerging trends and future directions” https://t.co/2tNfejtc8R