FLAME: A New Dataset on FLemish Accounts of Momentary Experiences
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 62 references that are in the map. First posted on arXiv 20 Apr 2025.
Builds on
14 of 62 references.
References · 14
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
- 2018GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understandingcited by 4,899
- 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
- 2017A Broad-Coverage Challenge Corpus for Sentence Understanding through Inferencecited by 2,682
- 2020The Pile: An 800GB Dataset of Diverse Text for Language Modelingcited by 2,411
- 2018Datasheets for Datasetscited by 1,386
- 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 801
- 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 798
- 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 723
- 2016A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Storiescited by 417
- 2024mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrievalcited by 236
- 2024jina-embeddings-v3: Multilingual Embeddings With Task LoRAcited by 141
Built on by
Not cited yet.