Anya Belz
Anya Belz
Dublin City University

Technology and app areas:

  • Machine Learning (Natural Language Processing)


Prof Anya Belz’s work focuses on Natural Language Generation and evaluation of Natural Language Processing systems. Belz joined ADAPT as Science Lead in the Digital Content Transformation Strand, and DCU’s School of Computing as Professor of Computer Science (NLP), in May 2021. Belz’s research is at the intersection of machine learning and NLP, and her projects and publications span NLG, text analysis, evaluation and image description. She has chaired two large-scale international research networks on computer vision and language processing, a series of summer schools on neural machine learning, and a series of international benchmarking exercises in language generation (2007-2021).

Her work has resulted in some of the earliest methods for statistical language generation (powering robust real-world systems, e.g. for weather forecast generation and image description for the blind), the introduction of comparative evaluation methods in language generation (enabling effective assessment of the relative benefit of methodological alternatives), integrated approaches to vision and language processing (facilitating better methods for searching, annotating, and managing image and language data), and most recently formal methods for assessing and quantifying reproducibility in NLP.

Her research has been funded by 16 grants from the Engineering and Physical Sciences Research Council (EPSRC), the British Academy and the European Commission (EC), and has been recognised by two best paper awards and the NLG nomination for the inaugural NAACL Test of Time award, as well as by advisory roles and senior reviewing appointments for funding bodies such as EPSRC and the EC.