
NLP, event extraction, and political violence. Assistant professor of political science at MSU. PhD from MIT. Mastodon: @andy@sigmoid.social
Ann Arbor, MI, USA
Joined June 2009
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Andy Halterman retweeted
Currently in FirstView: “Synthetically generated text for supervised text analysis.” @ahalterman proposes a method for using LLMs to generate synthetic training data for training smaller, traditional supervised text models.
Andy Halterman retweeted
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.
MSU political science is hiring in methods! I'm at PolMeth today if you want chat about it. careers.msu.edu/en-us/job/51…
How can we categorize political actors extracted from text without or dictionaries or lots of hand labeling? We can use a "soft dictionary" approach with a small set of hand-written patterns and a transformer model.
Blog post: andrewhalterman.com/post/sof…
Live demo: andrewhalterman.com:9067/
Paper: arxiv.org/abs/2304.01331
Andy Halterman retweeted
OK, here it is: a line in the sand (in @Nature). I am very wary about scientists---including political scientists---embracing/pushing proprietary LLMs. Let's try an open science approach. Hope this take is a useful one.
nature.com/articles/d41586-0…
Big epiphanies today in the grad causal inference class reviewing all the methods we've covered so far.
I've (finally) released an update to my text geoparsing library. Mordecai 3 lets you pass in a document, and returns the place names from the text and their geographic coordinates. It's built on #spacy and Geonames and uses a new neural similarity model.
Mordecai 3 is open source, runs offline, and is available via pip or on GitHub: github.com/ahalterman/mordec…. Check out the paper for more details and performance comparisons with other geoparsers: arxiv.org/abs/2303.13675
Andy Halterman retweeted
ift.tt/4aNvbci Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks. (arXiv:2304.01331v1 [cs.CL]) #NLProc
Andy Halterman retweeted
Replying to @emollick
Not a special issue, but I have a working paper on using synthetically generated text to train supervised classifiers (with poli sci applications). Paper: andrewhalterman.com/files/Ha… Poster: andrewhalterman.com/files/Ha…
Andy Halterman retweeted
Replying to @ben_j_radford
@ben_j_radford and @hurrial kicking off the second day of the #CASE Workshop (Extraction of Socio-political Events from Text) @emnlpmeeting. @ahalterman @tiancheng_hu @yaoyao_dai @HristoTanev2 🙌 – at Abu Dhabi, United Arab Emirates
Andy Halterman retweeted
Much of IR is concerned with understanding the behavior of elites. That’s nice from a natural language processing perspective, as elite decision-making tend to get written down.
— SSP alum @ahalterman on natural language processing in IR research.
e-ir.info/2022/11/24/intervi…
If you’re in Ann Arbor on Friday, I’ll be talking about computational tools for political science research.
Join us Friday at @umisr for a roundtable on mismatches between computational tools and social science needs. With Walter Mebane, @ahalterman @cjfariss and @jmendelsohn2.

ALT Learning how to play with machines roundtable on Mismatches between computational tools and social science needs: with Walter Mebane, Andy Halterman, Chris Fariss, and Julia Mendelsohn. Moderated by Arya McCarthy, Giovanna Maria Dora Dore and Eva M. E. Klaus. Nov. 11 at 1:30 pm in ISR Room 1430.
Andy Halterman retweeted
Have you (or someone you know) struggled to get coherent topics out of the LDA topic model?
✍️ I've written you a list of tips, compiling what I know from the research literature + my personal experience modeling many different datasets.
maria-antoniak.github.io/202…
Modeling proportions/beta distributed DVs comes up all the time in political science and I’ve wanted something that easily handles them for so long!
🚨 Happy that my ordered beta regression article is now online @polanalysis! 🚨
Ordbetareg is a drop-in replacement for OLS when modeling bounded continuous outcomes--such as proportions, indexes, sliders.
#rstats📦: cran.r-project.org/web/packa…
Paper link: bit.ly/3czIUIc
Free app idea: scape the NYC scaffold permits and give rain-specific walking directions that minimize your uncovered walking time.
I've been getting unalloyed joy from @midjourney. I made some signs for the kegs at my wedding this weekend. (Prompts in the alt text)















