Associate professor of Computer Science at Northeastern University, researching NLP, ML, IR, and digital humanities. https://xitter.cf/t.co/rSvC7ikLhe
Joined October 2011
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Now that the semester’s over I wanted to share the readings @giulia_taurino and I and the students in our seminar on Artificial Intelligence as an Archival Science put together. We had a great time; they wrote good papers; hopefully this will be useful. github.com/dasmiq/cs7180-sp2…
In the 1990s, part of it housed the Max Planck Institute for the History of Science. That's their the conference room on the lower left, where, before Google Docs, they hooked three keyboards up to one computer to co-edit papers.
David Smith retweeted
Work with data in newsrooms, libraries, CSOs, museums, govt, or community? Excited to share I'm working on a book for *you* about creative data literacy and storytelling in pro-social settings. Tentatively titled "Community Data". Coming fall '24 from @OxUniPress 💡+🧑🏾💻=📗
David Smith retweeted
So proud of my Computational Humanities Group @UniLeipzig + special guest @SarahALang – 5 submissions have been accepted for CHR conf. 2023 in Paris 🥳 Props to everybody in the group and many thanks to the PC and reviewers for doing such a great job! 2023.computational-humanitie…
David Smith retweeted
Last but not least, in EMNLP Findings, Liwen Hou continues her brilliant line of work on diachronic syntax by investigating how we can probe language models trained on different time periods. khoury.northeastern.edu/home…
David Smith retweeted
Next in CHR, @muther22 and Mathew Barber use language models to probe modern and mediaeval citation practices. A citation is a query in a noisy channel model that the author of a target text thinks might help you find the source. khoury.northeastern.edu/home…
David Smith retweeted
Caroline Craig, @kartik_goyal_ , @farnooshamsian , and @PhilologistGRC have a CHR paper on getting document-level sentence alignment to work for the ancient Greek and Latin corpus to track multiple translations into English, French, German, Persian, etc. khoury.northeastern.edu/home…
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Our OCR team @Open_ITI (Jake Murel, @Mar_Musa , and @M_T_Miller ) has a new Computational Humanities Research paper on transcribing Arabic and Persian manuscripts without any annotated manuscript data, Automatic Collation for Diversifying Corpora (ACDC): khoury.northeastern.edu/home…
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New CHR paper with an amazing set of collaborators: we find that high-recall bitext mining and sentence alignment is actually kinda tricky for messy historical literary text. Multilingual embeddings like LaBSE and friends work surprisingly well for literary ancient Greek though!
Caroline Craig, @kartik_goyal_ , @farnooshamsian , and @PhilologistGRC have a CHR paper on getting document-level sentence alignment to work for the ancient Greek and Latin corpus to track multiple translations into English, French, German, Persian, etc. khoury.northeastern.edu/home…
A lot of past work on historical syntax involved treebanking text from different time periods. Instead, Liwen compares language models trained on different time periods on modern tagging and parsing tasks to detect language change.
ALT Graph comparing lexical confusion between historical and modern language models.