Rudali Huidrom

PhD Student

Email Address: rudali.huidrom@adaptcentre.ie

Rudali Huidrom is a PhD student under the supervision of Prof. Anya Belz at DCU. Her research focus is on semantic and stylistic control for neural NLG. She graduated from SJCE, India with a B.Eng. in Computer Science and Engineering and from Waseda University, Japan with an MEng specializing on Machine Translation and Natural Language Processing.

Research Domains

Artificial Intelligence
Deep Learning
Machine Learning
Natural Language Processing
Semantic Representation

Publications by Rudali Huidrom

The INLG 2024 Tutorial on Human Evaluation of NLP System Quality: Background, Overall Aims, and Summaries of Taught Units

PUBLICATION:	INLG 2024 - 17th International Natural Language Generation Conference: Generation Challenges
AUTHOR(S):	Anya Belz, Joao Sedoc, Craig Thomson, Simon Mille, Rudali Huidrom
DATE:	23 September 2024
TYPE:	Conf papers

QCET: An interactive taxonomy of quality criteria for comparable and repeatable evaluation of NLP systems

PUBLICATION:	INLG 2024 - 17th International Natural Language Generation Conference: Generation Challenges
AUTHOR(S):	Anya Belz, Simon Mille, Craig Thomson, Rudali Huidrom
DATE:	23 September 2024
TYPE:	Conf papers

Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups

PUBLICATION:	INLG 2024 - 17th International Natural Language Generation Conference: Generation Challenges
AUTHOR(S):	Simon Mille, Massimiliano Pronesti, Craig Thomson, Michela Lorandi, Sophie Fitzpatrick, Rudali Huidrom, Mohammed Sabry, Amy O'Riordan, Anya Belz
DATE:	23 September 2024
TYPE:	Conf papers

Differences in Semantic Errors Made by Different Types of Data-to-text Systems

PUBLICATION:	INLG 2024 - 17th International Natural Language Generation Conference: Generation Challenges
AUTHOR(S):	Rudali Huidrom, Anya Belz, Michela Lorandi
DATE:	23 September 2024
TYPE:	Conf papers