Naomi Baes
@naomibaes.bsky.social
PhD Candidate | NLP • Psychology • Computational Social Science
- Build theory-driven frameworks (SIBling & LSC-Eval) to model semantic change in societally relevant concepts
- Supervisors: Nick Haslam & Kat Vylomova
🌐 naomibaes.github.io
- Build theory-driven frameworks (SIBling & LSC-Eval) to model semantic change in societally relevant concepts
- Supervisors: Nick Haslam & Kat Vylomova
🌐 naomibaes.github.io
#EACL2026 #LChange #LanguageChange #LanguageVariation #ComputationalLinguistics #SemanticChange #DigitalHumanities #NLP #HistoricalLinguistics
October 15, 2025 at 11:03 AM
Topics (cont). (3/3)
- Cross-linguistic, phylogenetic, and developmental approaches to language change
- Novel datasets for cross-linguistic and diachronic analyses of language
- Cross-linguistic, phylogenetic, and developmental approaches to language change
- Novel datasets for cross-linguistic and diachronic analyses of language
October 15, 2025 at 11:03 AM
Topics (cont). (3/3)
- Cross-linguistic, phylogenetic, and developmental approaches to language change
- Novel datasets for cross-linguistic and diachronic analyses of language
- Cross-linguistic, phylogenetic, and developmental approaches to language change
- Novel datasets for cross-linguistic and diachronic analyses of language
Topics (cont). (2/3)
- Novel methods for diachronic analysis of low-resource languages
- Novel methods for diachronic linguistic data visualization
- Novel applications and implications of language change detection
- Quantification of sociocultural influences on language change
...
- Novel methods for diachronic analysis of low-resource languages
- Novel methods for diachronic linguistic data visualization
- Novel applications and implications of language change detection
- Quantification of sociocultural influences on language change
...
October 15, 2025 at 11:03 AM
Topics (cont). (2/3)
- Novel methods for diachronic analysis of low-resource languages
- Novel methods for diachronic linguistic data visualization
- Novel applications and implications of language change detection
- Quantification of sociocultural influences on language change
...
- Novel methods for diachronic analysis of low-resource languages
- Novel methods for diachronic linguistic data visualization
- Novel applications and implications of language change detection
- Quantification of sociocultural influences on language change
...
Topics include (1/3):
- Novel methods for detecting diachronic semantic change and lexical replacement
- Automatic discovery and quantitative evaluation of laws of language change
- Computational theories and generative models of language change
- Diachronic word sense disambiguation
...
- Novel methods for detecting diachronic semantic change and lexical replacement
- Automatic discovery and quantitative evaluation of laws of language change
- Computational theories and generative models of language change
- Diachronic word sense disambiguation
...
October 15, 2025 at 11:03 AM
Topics include (1/3):
- Novel methods for detecting diachronic semantic change and lexical replacement
- Automatic discovery and quantitative evaluation of laws of language change
- Computational theories and generative models of language change
- Diachronic word sense disambiguation
...
- Novel methods for detecting diachronic semantic change and lexical replacement
- Automatic discovery and quantitative evaluation of laws of language change
- Computational theories and generative models of language change
- Diachronic word sense disambiguation
...
Reposted by Naomi Baes
I elaborate on what I think should be taught. It boils down to (at least) four things:
1 causality: how to pose and identify effects
2 regression: as a tool for inference, not prediction
3 benchmarks: as measurements, not trophies
4 experiments: with rigor, power, and ethics
1 causality: how to pose and identify effects
2 regression: as a tool for inference, not prediction
3 benchmarks: as measurements, not trophies
4 experiments: with rigor, power, and ethics
October 5, 2025 at 4:07 PM
I elaborate on what I think should be taught. It boils down to (at least) four things:
1 causality: how to pose and identify effects
2 regression: as a tool for inference, not prediction
3 benchmarks: as measurements, not trophies
4 experiments: with rigor, power, and ethics
1 causality: how to pose and identify effects
2 regression: as a tool for inference, not prediction
3 benchmarks: as measurements, not trophies
4 experiments: with rigor, power, and ethics
September 5, 2025 at 4:58 AM
Congratulations, @andreskarjus.bsky.social! Well deserved.
September 4, 2025 at 5:56 PM
Congratulations, @andreskarjus.bsky.social! Well deserved.
Presenting SIBling at @ic2s2.bsky.social was super enjoyable. Thanks to everyone who dropped by and for the thoughtful discussions!
August 29, 2025 at 4:24 AM
Presenting SIBling at @ic2s2.bsky.social was super enjoyable. Thanks to everyone who dropped by and for the thoughtful discussions!
We successfully presented our findings @aclmeeting.bsky.social Thanks to everyone who stopped by for the thoughtful questions and great discussion!
August 28, 2025 at 10:03 PM
We successfully presented our findings @aclmeeting.bsky.social Thanks to everyone who stopped by for the thoughtful questions and great discussion!