Papers by Dren Fazlija

3 papers
TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya (2024.lrec-main)

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Challenge: Existing annotated datasets for NLP tasks in languages with limited resources are limited.
Approach: They propose to use machine translation to convert existing Tigrinya dataset into a Tigrina dataset in SQuAD format.
Outcome: The proposed dataset is an expert-annotated Tigrinya dataset with 2,685 question-answer pairs covering 122 diverse topics.
MoVoC: Morphology-Aware Subword Construction for Ge’ez Script Languages (2025.findings-emnlp)

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Challenge: Subword-based tokenization methods fail to preserve morphological boundaries, a limitation especially pronounced in low-resource, morphology complex languages such as those written in the Ge‘ez script.
Approach: They propose a tokenizer that integrates supervised morphological analysis into the subword vocabulary and propose morpheme-based tokenization with Byte Pair Encoding (BPE) tokens.
Outcome: The proposed tokenizer preserves morphological integrity while maintaining lexical meaning.
ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness (2025.findings-acl)

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Challenge: Large language models can process text from various document formats and facilitate user interactions through natural language queries.
Approach: They propose a concept of sensitivity awareness (SA) which enables LLMs to adhere to predefined access rights rules.
Outcome: The proposed model can adhere to predefined access rights rules while managing unauthorized requests while effectively addressing legitimate queries.

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