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Yusufcan Manav

2 accepted papers

2024

Dealing with Data Scarcity in Spoken Question Answering

Merve Ünlü Menevşe, Yusufcan Manav, Ebru Arisoy, Arzucan Özgür
COLING 2024main

This paper focuses on dealing with data scarcity in spoken question answering (QA) using automatic question-answer generation and a carefully selected fine-tuning strategy that leverages limited annotated data (paragraphs and question-answer pairs). Spoken QA is a challenging task due to using spoke…

Cited by 0Source ↗PDF ↗Scholar ↗
2022

A Framework for Automatic Generation of Spoken Question-Answering Data

Merve Ünlü Menevşe, Yusufcan Manav, Ebru Arisoy, Arzucan Özgür
EMNLP 2022finding

This paper describes a framework to automatically generate a spoken question answering (QA) dataset. The framework consists of a question generation (QG) module to generate questions automatically from given text documents, a text-to-speech (TTS) module to convert the text documents into spoken form…

Cited by 6Source ↗PDF ↗code ↗Scholar ↗