Papers by Eda Okur

1 papers
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System (2022.lrec-1)

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Challenge: Contextually aware intelligent agents are often required to understand the users and their surroundings in real-time.
Approach: They propose to build a multimodal dialogue system for children learning basic math concepts using limited datasets.
Outcome: The proposed system improves the Natural Language Understanding (NLU) module of a task-oriented SDS pipeline with limited dataset resources.

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