Igor Shalyminov

According to our database, Igor Shalyminov authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders.

Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour

CoRR, 2024

Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection.

Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour

CoRR, 2024

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets.

Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour

CoRR, 2024

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization.

Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen R. McKeown

CoRR, 2024

2023

Enhancing Abstractiveness of Summarization Models through Calibrated Distillation.

Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

GRTr: Generative-Retrieval Transformers for Data-Efficient Dialogue Domain Adaptation.

Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz

IEEE ACM Trans. Audio Speech Lang. Process., 2021

2020

Data-Efficient Methods for Dialogue Systems.

Igor Shalyminov

CoRR, 2020

Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation.

Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz

CoRR, 2020

Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer.

Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach.

Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Contextual Out-of-domain Utterance Handling with Counterfeit Data Augmentation.

Sungjin Lee, Igor Shalyminov

Proceedings of the IEEE International Conference on Acoustics, 2019

Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks.

Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Improving Robustness of Neural Dialog Systems in a Data-Efficient Way with Turn Dropout.

Igor Shalyminov, Sungjin Lee

CoRR, 2018

Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems.

Igor Shalyminov, Arash Eshghi, Oliver Lemon

CoRR, 2018

Neural Response Ranking for Social Conversation: A Data-Efficient Approach.

Igor Shalyminov, Ondrej Dusek, Oliver Lemon

Proceedings of the 2nd International Workshop on Search-Oriented Conversational AI, 2018

2017

An Ensemble Model with Ranking for Social Dialogue.

Ioannis Papaioannou, Amanda Cercas Curry, Jose L. Part, Igor Shalyminov, Xinnuo Xu, Yanchao Yu, Ondrej Dusek, Verena Rieser, Oliver Lemon

CoRR, 2017

Challenging Neural Dialogue Models with Natural Data: Memory Networks Fail on Incremental Phenomena.

Igor Shalyminov, Arash Eshghi, Oliver Lemon

CoRR, 2017

Interactional dynamics and the emergence of language games.

Arash Eshghi, Igor Shalyminov, Oliver Lemon

Proceedings of the Workshop on Formal Approaches to the Dynamics of Linguistic Interaction 2017 co-located within the European Summer School on Logic, 2017

Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars.

Arash Eshghi, Igor Shalyminov, Oliver Lemon

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017