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Juri Opitz

@nlopitz.bsky.social

55 followers 46 following 5 posts

Researcher at University of Zurich www.juriopitz.com

Posts Replies Media

Reposted by Juri Opitz

Computational Linguistics Journal @complingjournal.bsky.social · 26/04/2026

NLP relies on Linguistics & that's capital RELIES! It encapsulates 6 major facets where linguistics contributes to NLP: Resources, Evaluation, Low-resource settings, Interpretability, Explanation, & the Study of language. Read it at doi.org/10.1162/coli... @nlopitz.bsky.social @complingy.bsky.social

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Juri Opitz @nlopitz.bsky.social · 26/08/2025

LLMs can't parse (yet) --- New Blog Post! juriopitz.com/2025/08/26/l...

juriopitz.com

LLMs can’t parse (yet)

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Juri Opitz @nlopitz.bsky.social · 25/07/2025

Happy to share that my amazing co-authors will be presenting some of our recent work at ACL 2025 next week! If you’re interested in these topics please feel free to drop by and connect. (Paper links in comments 👇)

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Reposted by Juri Opitz

Kyle Mahowald @kmahowald.bsky.social · 21/04/2025

I might be able to hire a postdoc for this fall in computational linguistics at UT Austin. Topics in the general LLM + cognitive space (particularly reasoning, chain of thought, LLMs + code) and LLM + linguistic space. If this could be of interest, feel free to get in touch!

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Reposted by Juri Opitz

Rachele Sprugnoli @rsprugnoli.bsky.social · 11/04/2025

Applications are now open for the graduate programme in "Linguistic Computing" at Università Cattolica del Sacro Cuore! #Milan #NLProc #artificalintelligence www.unicatt.it/en/programme...

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Reposted by Juri Opitz

Nathan Schneider @complingy.bsky.social · 11/03/2025

Our survey highlights the enduring influence of linguistics on #NLProc. We emphasize 6 facets: Resources, Evaluation, Low-resource settings, Interpretability, Explanation, and the Study of language.

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Juri Opitz @nlopitz.bsky.social · 11/03/2025

Happy to share that our paper, "Natural Language Processing RELIES on Linguistics," will appear in Computational Linguistics! Preprint: arxiv.org/abs/2405.05966

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Reposted by Juri Opitz

Sumit @reachsumit.com · 21/02/2025

Interpretable Text Embeddings and Text Similarity Explanation: A Primer Provides a comprehensive overview of methods for explaining text embeddings and similarity scores, covering space shaping, set-based, and attribution approaches. 📝 arxiv.org/abs/2502.14862

arxiv.org

Interpretable Text Embeddings and Text Similarity Explanation: A Primer

Text embeddings and text embedding models are a backbone of many AI and NLP systems, particularly those involving search. However, interpretability challenges persist, especially in explaining obtaine...

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Juri Opitz @nlopitz.bsky.social · 04/02/2025

Hello 🦋! #nlproc #compling #machinelearning

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