Grzegorz Chrupała

485 Followers
280 Following
149 Posts
Associate Professor at Tilburg University
Computational Linguistics • Machine Learning
Слава Україні.
زن, زندگی, آزادی
Webhttps://grzegorz.chrupala.me
Publicationshttps://www.semanticscholar.org/author/Grzegorz-Chrupala/2756960
Twitterhttps://twitter.com/@gchrupala
Photoshttps://Instagram.com/gchrupala
A PhD vacancy in a project on 𝐌𝐓 𝐟𝐨𝐫 𝐒𝐢𝐠𝐧 𝐚𝐧𝐝 𝐒𝐩𝐨𝐤𝐞𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 led by my colleagues @DShterionov + @Mir_DeSisto at TilburgU_DCA
• Fully funded position for 4 years.
• Starting salary € 2541 monthly + extras.
• Details: https://tiu.nu/21710
Job opening: PhD in machine translation for sign and spoken languages (21710)

I'm curious about transfer learning from non-language data to language (speech or text). Which papers should I be reading?
It's a foggy morning here today. In other news, the English word "mist", Polish "mgła" and Persian "میغ" /miɢ/ are all derived from the Proto-Indo-European root *h₃meygʰ-.

🥳 Thrilled to announce our paper got accepted to #EACL2023!
We introduce *Value Zeroing*, a new interpretability method for quantifying context mixing in Transformers.

A joint work w/ me, @wzuidema, @gchrupala, and Afra

📑Paper: https://arxiv.org/abs/2301.12971
☕Code: https://github.com/hmohebbi/ValueZeroing

#NLProc #InDeep

Quantifying Context Mixing in Transformers

Self-attention weights and their transformed variants have been the main source of information for analyzing token-to-token interactions in Transformer-based models. But despite their ease of interpretation, these weights are not faithful to the models' decisions as they are only one part of an encoder, and other components in the encoder layer can have considerable impact on information mixing in the output representations. In this work, by expanding the scope of analysis to the whole encoder block, we propose Value Zeroing, a novel context mixing score customized for Transformers that provides us with a deeper understanding of how information is mixed at each encoder layer. We demonstrate the superiority of our context mixing score over other analysis methods through a series of complementary evaluations with different viewpoints based on linguistically informed rationales, probing, and faithfulness analysis.

arXiv.org
Not sure it really makes sense to require a limitations section for position papers @aclmeeting
What would go in there beyond "It's an opinion piece so take it or leave it."

Wild mammals make up only about 4% of the world’s mammal biomass

via our new page on biodiversity
https://ourworldindata.org/biodiversity

Biodiversity

Explore the diversity of wildlife across the planet. What are species threatened with? What can we do to prevent biodiversity loss?

Our World in Data

Originally learned from @yakabikaj at 🐦 :

Yiddish באקאליינע bakaleyne "grocery store", came to #Yiddish from #Ukrainian Бакалiя (groceries), to which it came from #Tatar, to which it came from #Persian (بقالی baqqālī,), to which it came from from #Arabic بقالة biqāla (groceries, retail store) or بقال baqqāl. Quite an unusual story of loaning across at least 5 #languages and linguistic families!

#language #etymology #linguistics

on further reflection I should perhaps not have accepted that promotion to a managerial position

International poll, so please boost for a wider sample.

How many languages can you read (and, of course, understand!) without the help of an online translator?

> 5
3.6%
4-5
15.9%
2-3
62.2%
1
18.3%
Poll ended at .
@gchrupala oh absolutely! The Egyptians just tore it out when mummifying because they thought it was useless