Spoken Dialogue Systems: Progress and Challenges
Prof. Steve Young,
University of Cambridge, UK –
The potential advantages of statistical dialogue systems include lower development cost, increased robustness to noise and the ability to learn on-line so that performance can continue to improve over time. This talk will briefly review the basic principles of statistical dialogue systems including belief tracking and policy representations. Recent developments at Cambridge in the areas of rapid adaptation and on-line learning using Gaussian processes will then be described. The talk will conclude with a discussion of some of the major issues limiting progress.
Steve Young received a BA in Electrical Sciences from Cambridge University in 1973 and a PhD in Speech Processing in 1978. He held lectureships at both Manchester and Cambridge Universities before being elected to the Chair of Information Engineering at Cambridge University in 1994. He was a co-founder and Technical Director of Entropic Ltd from 1995 until 1999 when the company was taken over by Microsoft. After a short period as an Architect at Microsoft, he returned full-time to the University in January 2001 where he is now Senior Pro-Vice-Chancellor.
His research interests include speech recognition, language modelling, spoken dialogue and multi-media applications. He is the inventor and original author of the HTK Toolkit for building hidden Markov model-based recognition systems (see http://htk.eng.cam.ac.uk), and with Phil Woodland, he developed the HTK large vocabulary speech recognition system which has figured strongly in DARPA/NIST evaluations since it was first introduced in the early nineties. More recently he has developed statistical dialogue systems and pioneered the use of Partially Observable Markov Decision Processes for modelling them. He also has active research in voice transformation, emotion generation and HMM synthesis.
He has written and edited books on software engineering and speech processing, and he has published as author and co-author, more than 250 papers in these areas. He is a Fellow of the Royal Academy of Engineering, the IEEE, the IET and the Royal Society of Arts. He served as the senior editor of Computer Speech and Language from 1993 to 2004 and he was Chair of the IEEE Speech and Language Processing Technical Committee from 2009 to 2011. In 2004, he received an IEEE Signal Processing Society Technical Achievement Award. He was elected ISCA Fellow in 2008 and he was awarded the ISCA Medal for Scientific Achievement in 2010. He is the recipient of the 2013 Eurasip Individual Technical Achievement Award.
Isabel Maria Martins Trancoso
Anfiteatro do Complexo Interdisciplinar, IST Alameda
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.