FLAME: A New Dataset on FLemish Accounts of Momentary Experiences

Ratna Kandala; Niels Vanhasbroeck; Katie Hoemann

FLAME: A New Dataset on FLemish Accounts of Momentary Experiences

Ratna Kandala, Niels Vanhasbroeck, Katie Hoemann

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Abstract

We introduce FLAME (FLemish Accounts of Momentary Experiences), a corpus of nearly 25,000 personal narratives in Belgian-Dutch (Flemish), collected through experience sampling to support Natural Language Processing (NLP) research on an underrepresented variety. Such everyday narratives are rich in culturally grounded themes, but their informal register and low-resource setting make thematic extraction hard. Comparing K-Means, LDA, and BERTopic, we find that human evaluation favors BERTopic, which produces the most coherent, culturally resonant topics. FLAME, thereby, offers a new resource for studying everyday language use in a low-resource variety.

Anthology ID:: 2026.findings-emnlp.487
Volume:: Findings of the Association for Computational Linguistics: EMNLP 2026
Month:: October
Year:: 2026
Address:: Budapest, Hungary
Editors:: Hung-Yi Lee, Sunipa Dev, Jessy Li, Desmond Elliott
Venue:: Findings
SIG:: SIGDAT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 10204–10219
Language:
URL:: https://aclanthology.org/2026.findings-emnlp.487/
DOI:
Bibkey:
Cite (ACL):: Ratna Kandala, Niels Vanhasbroeck, and Katie Hoemann. 2026. FLAME: A New Dataset on FLemish Accounts of Momentary Experiences. In Findings of the Association for Computational Linguistics: EMNLP 2026, pages 10204–10219, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):: FLAME: A New Dataset on FLemish Accounts of Momentary Experiences (Kandala et al., Findings 2026)
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PDF:: https://aclanthology.org/2026.findings-emnlp.487.pdf

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@inproceedings{kandala-etal-2026-flame,
    title = "{FLAME}: A New Dataset on {FL}emish Accounts of Momentary Experiences",
    author = "Kandala, Ratna  and
      Vanhasbroeck, Niels  and
      Hoemann, Katie",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {EMNLP} 2026",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-emnlp.487/",
    pages = "10204--10219",
    ISBN = "979-8-89176-462-0",
    abstract = "We introduce FLAME (FLemish Accounts of Momentary Experiences), a corpus of nearly 25,000 personal narratives in Belgian-Dutch (Flemish), collected through experience sampling to support Natural Language Processing (NLP) research on an underrepresented variety. Such everyday narratives are rich in culturally grounded themes, but their informal register and low-resource setting make thematic extraction hard. Comparing K-Means, LDA, and BERTopic, we find that human evaluation favors BERTopic, which produces the most coherent, culturally resonant topics. FLAME, thereby, offers a new resource for studying everyday language use in a low-resource variety."
}

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%0 Conference Proceedings
%T FLAME: A New Dataset on FLemish Accounts of Momentary Experiences
%A Kandala, Ratna
%A Vanhasbroeck, Niels
%A Hoemann, Katie
%Y Lee, Hung-Yi
%Y Dev, Sunipa
%Y Li, Jessy
%Y Elliott, Desmond
%S Findings of the Association for Computational Linguistics: EMNLP 2026
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-462-0
%F kandala-etal-2026-flame
%X We introduce FLAME (FLemish Accounts of Momentary Experiences), a corpus of nearly 25,000 personal narratives in Belgian-Dutch (Flemish), collected through experience sampling to support Natural Language Processing (NLP) research on an underrepresented variety. Such everyday narratives are rich in culturally grounded themes, but their informal register and low-resource setting make thematic extraction hard. Comparing K-Means, LDA, and BERTopic, we find that human evaluation favors BERTopic, which produces the most coherent, culturally resonant topics. FLAME, thereby, offers a new resource for studying everyday language use in a low-resource variety.
%U https://aclanthology.org/2026.findings-emnlp.487/
%P 10204-10219

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Markdown (Informal)

[FLAME: A New Dataset on FLemish Accounts of Momentary Experiences](https://aclanthology.org/2026.findings-emnlp.487/) (Kandala et al., Findings 2026)

FLAME: A New Dataset on FLemish Accounts of Momentary Experiences (Kandala et al., Findings 2026)

ACL

Ratna Kandala, Niels Vanhasbroeck, and Katie Hoemann. 2026. FLAME: A New Dataset on FLemish Accounts of Momentary Experiences. In Findings of the Association for Computational Linguistics: EMNLP 2026, pages 10204–10219, Budapest, Hungary. Association for Computational Linguistics.