Eda Okur

According to our database1, Eda Okur authored at least 29 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue.
CoRR, 2023

Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics.
CoRR, 2022

NLU for Game-based Learning in Real: Initial Evaluations.
CoRR, 2022

Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
Semi-supervised Interactive Intent Labeling.
CoRR, 2021

2020
Investigating topics, audio representations and attention for multimodal scene-aware dialog.
Comput. Speech Lang., 2020

Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents.
CoRR, 2020

Low Rank Fusion based Transformers for Multimodal Sequences.
CoRR, 2020

2019
Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog.
CoRR, 2019

Modeling Intent, Dialog Policies and Response Adaptation for Goal-Oriented Interactions.
CoRR, 2019

Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data.
CoRR, 2019

Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data.
CoRR, 2019

Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students.
CoRR, 2019

Conversational Intent Understanding for Passengers in Autonomous Vehicles.
CoRR, 2019

The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students.
CoRR, 2019

Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

Investigating the Impact of a Real-time, Multimodal Student Engagement Analytics Technology in Authentic Classrooms.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog.
CoRR, 2018

Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2018

Towards Human Affect Modeling: A Comparative Analysis of Discrete Affect and Valence-Arousal Labeling.
Proceedings of the HCI International 2018 - Posters' Extended Abstracts, 2018

Role of Socio-cultural Differences in Labeling Students' Affective States.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Students' emotional self-labels for personalized models.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

An unobtrusive and multimodal approach for behavioral engagement detection of students.
Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education, 2017

Behavioral Engagement Detection of Students in the Wild.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016
Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario?
Proceedings of the Late-breaking Results, 2016

Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Semi-supervised model personalization for improved detection of learner's emotional engagement.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016


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