Dimitris Alikaniotis

Dimitris Alikaniotis is a Research Scientist at Grammarly, specializing in Machine Learning and Natural Language Processing.3 He has a strong background in computational linguistics and focuses on areas such as representation learning and affective computing.34

Professional Experience

Alikaniotis has been contributing his expertise to Grammarly's Applied Research team, which has been engaged in research for over a decade.1 His work directly impacts Grammarly's products, helping millions of people worldwide improve their digital communication.1

Research Interests

His research interests include:

• Machine Learning
• Computational Linguistics
• Natural Language Processing
• Cognitive Modeling
• Bayesian approaches to machine learning
• Statistics
• Deep Learning4

Academic Background

Alikaniotis has a connection to the University of Cambridge, though the specific nature of this association is not detailed in the provided information.2

Publications and Contributions

Dimitris Alikaniotis has been involved in several recent publications, demonstrating his active role in advancing the field:

1. "Source Identification in Abstractive Summarization" (EACL 2024)1
2. "Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics" (EACL 2024)1

Recent Developments

In March 2023, Alikaniotis shared information about the launch of GrammarlyGO, describing it as a revolutionary tool that will transform how people and businesses interact.5 This indicates his involvement in Grammarly's cutting-edge developments in AI-powered writing assistance.

Dimitris Alikaniotis continues to contribute to the field of NLP and AI writing assistance through his work at Grammarly, helping to shape the future of digital communication technologies.