As an ADAPT researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer:
Dialogue systems aim to have high quality conversations with users, emulating natural conversation skills, all the while completing a task efficiently and improving user experience. Research into dialogue systems faces similar challenges to other areas of Natural Language Processing (NLP), with respect to evaluation of systems. How can we best evaluate systems so results are realistic, accurate, and reliable? Good evaluation of systems is vital to guide research in the most promising direction and to avoid following directions that unknowingly negatively impact the performance of systems from the perspective of human users. Dialogue systems research is thought to be the future of human computer interaction and providing a means of accurate evaluation in this area therefore remains a high priority in NLP. The topic is under-researched however possibly due to the significant challenges that lie in the development of good evaluation methods relative to other research areas.
The project involves development of successful methods of evaluation for dialogue systems, including human and automatic metric-based evaluation. On completion of the project, the researcher will have experience with integrating state-of-the-art dialogue models into crowdsourcing platforms, such as Amazon’s Mechanical Turk, as well as using neural networks for automatic evaluation of dialogue quality. The work involved in this project as well as high impact publication venues will result in experience highly desired by companies such as Facebook, Google and LinkedIn to name but a few, in addition to being valuable for academic research careers in NLP and Machine Learning.
For informal inquiries please contact Prof Yvette Graham (email@example.com) about the position.
Applicants should submit an application via the following link: https://forms.gle/8xiELYq8QLR899Xp8. As part of the application, candidates are asked to provide the following
ADAPT is committed to achieving better diversity and gender representation at all levels of the organisation, across leadership, academic, operations, research staff and studentship levels. ADAPT is committed to the continued development of employment policies, procedures and practices that promote gender equality. On that basis we encourage and welcome talented people from all backgrounds to join ADAPT.