Aurelie Herbelot Profile picture
PI at the Centre for Mind/Brain Sciences, University of Trento. My group is CALM (Computational Approaches to Language and Meaning).
Mar 14, 2023 12 tweets 3 min read
Today is my last day in a university position so I wanted to write a few things about #leavingacademia⬇️

On NLP, Computational Linguistics and Meaning. Above all: on loving your object of study and owning it. \1 I don't often post here. I’m not a great talker. Which is a real shame because my research field loves talking on social media. About big engineering feats, conference acceptance rates, one's own success or struggles. Although, I note, relatively little about language itself. \2
Jan 23, 2022 4 tweets 1 min read
Here's some flattened portion of semantic space. What do you call meaning? a) the labeled points; b) the black void around them? /1 It seems to me we often think of the labeled vectors as meanings. But of course, the label is just a name for a position in space. A word may vary its position depending on speaker, on the time at which the vector was constructed (diachronic change), on the age of the speaker. /2
Sep 21, 2020 11 tweets 3 min read
New pre-print with Katrin Erk:

"How to marry a star? Probabilistic constraints for meaning in context."

A theoretical paper on evocation: how people ‘imagine' an entire situation from a few words, and how meaning is contextualised in the process.

arxiv.org/abs/2009.07936 /1 #lightreading summary ⬇️

When you hear 'the batter ran to the ball', what do you imagine? A batter? A ball? But perhaps also a pitch, an audience, the sun and a cap on the head of the batter.

What do you imagine when you hear 'the duchess drove to the ball'? /2
Jan 18, 2020 32 tweets 8 min read
Talking about #compositionality opens a giant can of worms. One worm: what is it that we compose and where does it come from? What is it that does composition, and where does it come from? I've tried to put some thoughts together on #innateness. /1

This thread has three parts: a) how some approaches to compositionality deal with innateness; b) why we should think about innateness in relation to computational models; c) why we should think about innateness in relation to data. /2
Jan 11, 2020 32 tweets 7 min read
Here's a thread surveying some 'classic' work on #compositionality. Lots of people seem to be discussing this right now, but with partial references to the whole story. My aim is to highlight some of the philosophical and psychological issues in the history of the concept. 1/ Small recap first... There are two principles usually associated with #compositionality, both (possibly incorrectly) attributed to Frege. See Pelletier's "Did Frege believe in Frege's principle?" (2001). 2/
Dec 20, 2019 7 tweets 3 min read
As we reflect on 2019 and decide on our research directions for 2020, here's a summary of my recent reading. The #context tag tells you *why* I ended up there (thx to @julianharris for the tag suggestion ;)). I'm curious to know what other people's journeys have been this year... Reading list (1) Language evolution papers. #context I am still trying to figure out what exactly language is for. We've seen some cool work on meaning shift in the last years. But *why* do meanings shift? And what does it tell us about the role of language in human behaviour?
Dec 14, 2019 7 tweets 2 min read
This thread made me think. Not about *what* we read but about *why* we read. I personally find it extremely hard to recommend papers to others because the papers I most cherish are not necessarily relevant to the world at large, and they might not even be what your standard reviewer would consider 'a good paper'.