Eda Okur Kavil
Research Scientist, Anticipatory Computing Lab
Expertise:
- Multi-modal AI
- Natural Language Processing (NLP)
- Personalization
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Leveraging Topics and Audio Features with Multimodal Attention…
With the recent advancements in Artificial Intelligence (AI), Intelligent Virtual Assistants (IVA) such as Alexa, Google Home, etc., have become…
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Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous…
Understanding passenger intents from spoken interactions and car's vision (both inside and outside the vehicle) are important building blocks towards…
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Context, Attention, and Audio Feature Explorations for Audio…
With the recent advancements in AI, Intelligent Virtual Assistants (IVA) have become a ubiquitous part of every home. Going forward,…
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Towards an Emotional Engagement Model: Can Affective States…
Existing Intelligent Tutoring Systems (ITSs) are unable to track affective states of learners. In this paper, we focus on the…
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Human Expert Labeling Process (HELP): Towards a Reliable…
In our longitudinal research, we have been working towards an adaptive learning system automatically detecting student engagement as a higher-order…
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Named Entity Recognition on Twitter for Turkish using…
Recently, due to the increasing popularity of social media, the necessity for extracting information from informal text types, such as…