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Cited By

A Million Tweets Are Worth a Few Points: Tuning Transformers for
Customer Service Tasks

A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks

North American Chapter of the Association for Computational Linguistics (NAACL), 2021

16 April 2021

Véronique Hoste

Thomas Demeester

ArXiv (abs)PDF HTML

Papers citing "A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks"

4 / 4 papers shown

A Customer Journey in the Land of Oz: Leveraging the Wizard of Oz Technique to Model Emotions in Customer Service Interactions

A Customer Journey in the Land of Oz: Leveraging the Wizard of Oz Technique to Model Emotions in Customer Service Interactions

Thomas Demeester

Véronique Hoste

104

1

0

26 Nov 2025

EmoTwiCS: A Corpus for Modelling Emotion Trajectories in Dutch Customer
Service Dialogues on Twitter

EmoTwiCS: A Corpus for Modelling Emotion Trajectories in Dutch Customer Service Dialogues on TwitterLanguage Resources and Evaluation (LRE), 2023

Thomas Demeester

Véronique Hoste

342

12

0

10 Oct 2023

EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain

EduQG: A Multi-format Multiple Choice Dataset for the Educational DomainIEEE Access (IEEE Access), 2022

Semere Kiros Bitew

Thomas Demeester

245

27

0

12 Oct 2022

TaDaa: real time Ticket Assignment Deep learning Auto Advisor for
customer support, help desk, and issue ticketing systems

TaDaa: real time Ticket Assignment Deep learning Auto Advisor for customer support, help desk, and issue ticketing systems

211

12

0

18 Jul 2022

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