Papers by Gokcen Gokceoglu

1 papers
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts (2024.findings-acl)

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Challenge: a multi-level, multi-label text classification dataset is used to classify over 3000 documents . authors use a classical bag-of-words (BoW) naive Bayes model and three modern LLMs .
Approach: They propose to apply large language models to a multi-level, multi-label text classification dataset . the dataset features literary and critical texts from 19th-century Ottoman Turkish and Russian .
Outcome: The proposed dataset features literary and critical texts from 19th-century Ottoman Turkish and Russian.

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