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
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.
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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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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…
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Or if you're interesting in forecasting civil war as a latent variable, you can come talk to me about that too.
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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.
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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…
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Big epiphanies today in the grad causal inference class reviewing all the methods we've covered so far.
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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.
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No ChatGPT here (yet), only the finest, handcrafted, artisanal features and good old RoBERTa.
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Andy Halterman retweeted
ift.tt/4aNvbci Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks. (arXiv:2304.01331v1 [cs.CL]) #NLProc
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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…
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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
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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.
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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…
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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!
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Free app idea: scape the NYC scaffold permits and give rain-specific walking directions that minimize your uncovered walking time.
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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)
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