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Naomi Baes

dblp:362/3522 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2026
0000-0003-3873-5021ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-author · 3 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
3 papers
Information extraction and text analysis · 78% Knowledge representation and reasoning · 22%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
lexical semantics
1.012026
SenseRel: A Sense-Level Benchmark for Denotational and Connotational Meaning Relations · ACL (1) 2026
Knowledge, reasoning and agents › Knowledge representation and reasoning › semantic representation
semantic relations
1.012026
SenseRel: A Sense-Level Benchmark for Denotational and Connotational Meaning Relations · ACL (1) 2026
Natural language and speech › Information extraction and text analysis
emotion recognition
0.912025
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages · ACL (1) 2025
Natural language and speech › Information extraction and text analysis
multilingual NLP
0.912025
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages · ACL (1) 2025
Natural language and speech › Information extraction and text analysis › lexical semantics
semantic change detection
0.812024
A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications · ACL (1) 2024

Methods — techniques the papers use, named apart from their topics

sentiment analysis · 1.5embedding-based semantic change detection · 1.5collocate analysis · 1.5sense-level annotation · 1.0
YearPublicationVenuePosition
2026 SenseRel: A Sense-Level Benchmark for Denotational and Connotational Meaning Relations
abstract
Pierluigi Cassotti, Naomi Baes, Stefano De Pascale, Jáder Martins Camboim de Sá, Francesco Periti, Nick Haslam, Dirk Geeraerts, Nina Tahmasebi. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Pierluigi Cassotti, Naomi Baes, Stefano De Pascale, Jáder Martins Camboim de Sá, Francesco Periti, Nick Haslam, Dirk Geeraerts, Nina Tahmasebi
ACL (1)2
2025 BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
abstract
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Jan Philip Wahle, Terry Ruas, Meriem Beloucif, Christine de Kock, Nirmal Surange, Daniela Teodorescu, Ibrahim Said Ahmad, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino D. M. A. Ali, Ilseyar Alimova, Vladimir Araujo, Nikolay Babakov, Naomi Baes, Ana-Maria Bucur, Andiswa Bukula, Guanqun Cao, Rodrigo Tufiño, Rendi Chevi, Chiamaka Ijeoma Chukwuneke, Alexandra Ciobotaru, Daryna Dementieva, Murja Sani Gadanya, Robert Geislinger, Bela Gipp, Oumaima Hourrane, Oana Ignat, Falalu Ibrahim Lawan, Rooweither Mabuya, Rahmad Mahendra, Vukosi Marivate, Alexander Panchenko, Andrew Piper, Charles Henrique Porto Ferreira, Vitaly Protasov, Samuel Rutunda, Manish Shrivastava, Aura Cristina Udrea, Lilian Diana Awuor Wanzare, Sophie Wu, Florian Valentin Wunderlich, Hanif Muhammad Zhafran, Tianhui Zhang, Yi Zhou, Saif M. Mohammad. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Jan Philip Wahle, Terry Ruas, Meriem Beloucif, Christine de Kock, Nirmal Surange, Daniela Teodorescu, Ibrahim Said Ahmad, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino D. M. A. Ali, Ilseyar Alimova, Vladimir Araujo, Nikolay Babakov, Naomi Baes, Ana-Maria Bucur, Andiswa Bukula, Guanqun Cao, Rodrigo Tufiño, Rendi Chevi, Chiamaka Ijeoma Chukwuneke, Alexandra Ciobotaru, Daryna Dementieva, Murja Sani Gadanya, Robert Geislinger, Bela Gipp, Oumaima Hourrane, Oana Ignat, Falalu Ibrahim Lawan, Rooweither Mabuya, Rahmad Mahendra, Vukosi Marivate, Alexander Panchenko, Andrew Piper, Charles Henrique Porto Ferreira, Vitaly Protasov, Samuel Rutunda, Manish Shrivastava 0001, Aura Cristina Udrea, Lilian Wanzare, Sophie Wu, Florian Valentin Wunderlich, Hanif Muhammad Zhafran, Tianhui Zhang, Yi Zhou 0019, Saif M. Mohammad
ACL (1)17
2024 A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications
abstract
Historical linguists have identified multiple forms of lexical semantic change.We present a three-dimensional framework for integrating these forms and a unified computational methodology for evaluating them concurrently.The dimensions represent increases or decreases in semantic 1) sentiment (valence of a target word's collocates), 2) breadth (diversity of contexts in which the target word appears), and 3) intensity (emotional arousal of collocates or the frequency of intensifiers).These dimensions can be complemented by the evaluation of shifts in the frequency of the target words and the thematic content of its collocates.This framework enables lexical semantic change to be mapped economically and systematically and has applications in computational social science.We present an illustrative analysis of semantic shifts in mental health and mental illness in two corpora, demonstrating patterns of semantic change that illuminate contemporary concerns about pathologization, stigma, and concept creep.
Naomi Baes, Nick Haslam, Ekaterina Vylomova
ACL (1)1