AI-2022 Forty-second SGAI International Conference on Artificial Intelligence
CAMBRIDGE, ENGLAND 13-15 DECEMBER 2022


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Application Keynote Lecture

Professor Emine Yilmaz (UCL)

From Search Queries to Conversations in the Design of Next Generation Information Access Systems

Abstract

With the introduction of new types of devices in our everyday lives such as intelligent assistants, the way people access information and their expectations have significantly changed. Most interactions now happen through conversations that happen over devices with small interfaces as opposed to search queries. This change has many implications in the design of information retrieval and access (IR) systems: we need to develop systems that can reduce the interactions needed with the device, while providing correct and unbiased information.

There are several research challenges that need to be overcome in devising such systems. In the first part of this talk, I will focus on the problems that need to be solved in designing IR systems that can reduce the user effort needed, as well as the progress that we have made in these areas. In the second part of the talk, I will emphasize the importance of detecting online misinformation and bias and describe some of the work we have done to tackle these issues. Finally, I will focus on the need for extensive manual annotations needed for training and evaluation of all these models and present Programmatic, a semi-automated annotation tool that significantly simplifies the process of obtaining annotations.


Emine Yilmaz is a Professor and Turing Fellow at University College London, Department of Computer Science. She also works as an Amazon Scholar for Amazon. Her research interests lie in the areas of information retrieval, data mining, and applications of machine learning, probability and statistics. She is a recipient of the Early Career Fellowship from the Engineering and Physical Sciences Research Council (EPSRC). To this date, she has received approximately 1.5 million GBP external funding from funding agencies including European Union, EPSRC, Google, Elsevier and Bloomberg. She has served in various senior roles, including co-editor-in-chief for the Information Retrieval Journal, a member of the editorial board for the AI Journal and an elected member of the executive committee for ACM SIGIR.

She is also the recipient of Karen Sparck Jones 2015 Award for the contributions of her work to the information retrieval research. She is also one of the recipients of the Google Faculty Research Award in 2015 and the Bloomberg Data Science Research Award in 2018.

She has served in various roles including PC Chair for ECIR 2020, ACM SIGIR 2018 and ACM ICTIR 2017 Conferences, Track Chair for The Web 2020 and 2018 Conferences, Practice and Experience Chair for ACM WSDM 2017, and as the Doctoral Consortium Chair for ECIR 2017.

AI-2022 Forty-second SGAI International Conference on Artificial Intelligence
CAMBRIDGE, ENGLAND 13-15 DECEMBER 2022


home | schedule | technical stream | application stream | poster sessions
workshops | proceedings | exhibition | registration | sponsors | organisers
enquiries | social | visa info | venue | accommodation | panel session | short paper presentations
ai open mic | information for speakers | previous conferences | letter of invitation
call for papers | paper submission and info for authors | accepted papers
internet access for delegates | exhibitor

BCS