Seiya Kawano

Orcid: 0000-0002-5830-8169

According to our database1, Seiya Kawano authored at least 14 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution.
CoRR, 2024

A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions.
CoRR, 2024

Do as I Demand, Not as I Say: A Dataset for Developing a Reflective Life-Support Robot.
IEEE Access, 2024

2023
End-to-end dialogue structure parsing on multi-floor dialogue based on multi-task learning.
Frontiers Robotics AI, February, 2023

Operative Action Captioning for Estimating System Actions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Analysis of Style-Shifting on Social Media: Using Neural Language Model Conditioned by Social Meanings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
What Should the System Do Next?: Operative Action Captioning for Estimating System Actions.
CoRR, 2022

Multimodal Persuasive Dialogue Corpus using Teleoperated Android.
Proceedings of the Interspeech 2022, 2022

Butsukusa: A Conversational Mobile Robot Describing Its Own Observations and Internal States.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Pseudo Ambiguous and Clarifying Questions Based on Sentence Structures Toward Clarifying Question Answering System.
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021
Development of the patent values evaluation method considering growth of technical community.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Entrainable Neural Conversation Model Based on Reinforcement Learning.
IEEE Access, 2020

2019
Neural Conversation Model Controllable by Given Dialogue Act Based on Adversarial Learning and Label-aware Objective.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

2018
Dialogue Act Classification in Reference Interview Using Convolutional Neural Network with Byte Pair Encoding.
Proceedings of the 9th International Workshop on Spoken Dialogue System Technology, 2018


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