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Eda Okur
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2020 – today
- 2024
- [j3]Sinem Aslan, Lenitra Megail Durham, Nese Alyüz, Rebecca Chierichetti, Pete Denman, Eda Okur, David Gonzalez-Aguirre, Julio Zamora-Esquivel, Héctor A. Cordourier Maruri, Sangita Sharma, Giuseppe Raffa, Richard E. Mayer, Lama Nachman:
What is the impact of a multi-modal pedagogical conversational AI system on parents' concerns about technology use by young children? Br. J. Educ. Technol. 55(4): 1625-1650 (2024) - [j2]Sinem Aslan, Lenitra Durham, Nese Alyüz, Eda Okur, Sangita Sharma, Celal Savur, Lama Nachman:
Immersive multi-modal pedagogical conversational artificial intelligence for early childhood education: An exploratory case study in the wild. Comput. Educ. Artif. Intell. 6: 100220 (2024) - [i21]Shachi H. Kumar, Saurav Sahay, Sahisnu Mazumder, Eda Okur, Ramesh Manuvinakurike, Nicole Beckage, Hsuan Su, Hung-yi Lee, Lama Nachman:
Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models. CoRR abs/2408.03907 (2024) - 2023
- [c13]Eda Okur, Roddy Fuentes-Alba, Saurav Sahay, Lama Nachman:
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home. BEA@ACL 2023: 692-708 - [i20]Hsuan Su, Shachi H. Kumar, Sahisnu Mazumder, Wenda Chen, Ramesh Manuvinakurike, Eda Okur, Saurav Sahay, Lama Nachman, Shang-Tse Chen, Hung-yi Lee:
Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. CoRR abs/2302.05888 (2023) - [i19]Eda Okur, Roddy Fuentes-Alba, Saurav Sahay, Lama Nachman:
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home. CoRR abs/2306.00482 (2023) - 2022
- [c12]Eda Okur, Saurav Sahay, Lama Nachman:
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System. LREC 2022: 4114-4125 - [i18]Eda Okur, Saurav Sahay, Lama Nachman:
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System. CoRR abs/2205.04006 (2022) - [i17]Eda Okur, Saurav Sahay, Lama Nachman:
NLU for Game-based Learning in Real: Initial Evaluations. CoRR abs/2205.13754 (2022) - [i16]Eda Okur, Saurav Sahay, Roddy Fuentes-Alba, Lama Nachman:
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics. CoRR abs/2211.03511 (2022) - 2021
- [i15]Saurav Sahay, Eda Okur, Nagib Hakim, Lama Nachman:
Semi-supervised Interactive Intent Labeling. CoRR abs/2104.13406 (2021) - 2020
- [j1]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Investigating topics, audio representations and attention for multimodal scene-aware dialog. Comput. Speech Lang. 64: 101102 (2020) - [i14]Saurav Sahay, Eda Okur, Shachi H. Kumar, Lama Nachman:
Low Rank Fusion based Transformers for Multimodal Sequences. CoRR abs/2007.02038 (2020) - [i13]Eda Okur, Shachi H. Kumar, Saurav Sahay, Lama Nachman:
Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents. CoRR abs/2007.03876 (2020)
2010 – 2019
- 2019
- [c11]Sinem Aslan, Nese Alyüz, Cagri Tanriover, Sinem Emine Mete, Eda Okur, Sidney K. D'Mello, Asli Arslan Esme:
Investigating the Impact of a Real-time, Multimodal Student Engagement Analytics Technology in Authentic Classrooms. CHI 2019: 304 - [c10]Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman:
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances. CICLing (2) 2019: 334-350 - [i12]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. ViGIL@NeurIPS 2019 - [i11]Eda Okur, Sinem Aslan, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students. CoRR abs/1901.03793 (2019) - [i10]Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman:
Conversational Intent Understanding for Passengers in Autonomous Vehicles. CoRR abs/1901.04899 (2019) - [i9]Nese Alyüz, Eda Okur, Utku Genc, Sinem Aslan, Cagri Tanriover, Asli Arslan Esme:
Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students. CoRR abs/1901.05835 (2019) - [i8]Eda Okur, Nese Alyüz, Sinem Aslan, Utku Genc, Cagri Tanriover, Asli Arslan Esme:
Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data. CoRR abs/1901.06291 (2019) - [i7]Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman:
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances. CoRR abs/1904.10500 (2019) - [i6]Eda Okur, Shachi H. Kumar, Saurav Sahay, Lama Nachman:
Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data. CoRR abs/1909.13714 (2019) - [i5]Saurav Sahay, Shachi H. Kumar, Eda Okur, Haroon Syed, Lama Nachman:
Modeling Intent, Dialog Policies and Response Adaptation for Goal-Oriented Interactions. CoRR abs/1912.10130 (2019) - [i4]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. CoRR abs/1912.10131 (2019) - [i3]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog. CoRR abs/1912.10132 (2019) - 2018
- [c9]Eda Okur, Sinem Aslan, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Role of Socio-cultural Differences in Labeling Students' Affective States. AIED (1) 2018: 367-380 - [c8]Sinem Aslan, Eda Okur, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Towards Human Affect Modeling: A Comparative Analysis of Discrete Affect and Valence-Arousal Labeling. HCI (29) 2018: 372-379 - [c7]Sinem Aslan, Eda Okur, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States. MIS4TEL 2018: 53-61 - [i2]Eda Okur, Hakan Demir, Arzucan Özgür:
Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings. CoRR abs/1810.08732 (2018) - [i1]Shachi H. Kumar, Eda Okur, Saurav Sahay, Juan Jose Alvarado Leanos, Jonathan Huang, Lama Nachman:
Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog. CoRR abs/1812.08407 (2018) - 2017
- [c6]Eda Okur, Nese Alyüz, Sinem Aslan, Utku Genc, Cagri Tanriover, Asli Arslan Esme:
Behavioral Engagement Detection of Students in the Wild. AIED 2017: 250-261 - [c5]Nese Alyüz, Eda Okur, Utku Genc, Sinem Aslan, Cagri Tanriover, Asli Arslan Esme:
An unobtrusive and multimodal approach for behavioral engagement detection of students. MIE@ICMI 2017: 26-32 - [c4]Sinem Aslan, Eda Okur, Nese Alyüz, Sinem Emine Mete, Ece Oktay, Utku Genc, Asli Arslan Esme:
Students' emotional self-labels for personalized models. LAK 2017: 550-551 - 2016
- [c3]Nese Alyüz, Eda Okur, Ece Oktay, Utku Genc, Sinem Aslan, Sinem Emine Mete, Bert Arnrich, Asli Arslan Esme:
Semi-supervised model personalization for improved detection of learner's emotional engagement. ICMI 2016: 100-107 - [c2]Eda Okur, Hakan Demir, Arzucan Özgür:
Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings. LREC 2016 - [c1]Nese Alyüz, Eda Okur, Ece Oktay, Utku Genc, Sinem Aslan, Sinem Emine Mete, David Stanhill, Bert Arnrich, Asli Arslan Esme:
Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario? UMAP (Extended Proceedings) 2016
Coauthor Index
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