User Satisfaction Modeling (USM) is one of the popular choices for
task-...
Task-oriented dialogue systems aim at providing users with task-specific...
Semi-supervised learning (SSL) is a popular setting aiming to effectivel...
Dialogue systems have received increasing attention while automatically
...
The automatic generation of educational questions will play a key role i...
Due to the massive size of test collections, a standard practice in IR
e...
With the boom of digital educational materials and scalable e-learning
s...
Existing dialogue datasets contain lots of noise in their state annotati...
Advances in deep learning theory have revealed how average generalizatio...
This work explores how population-based engagement prediction can addres...
We introduce Integrated Weak Learning, a principled framework that integ...
Dialogue State Tracking (DST) aims to keep track of users' intentions du...
The MultiWOZ 2.0 dataset has greatly boosted the research on dialogue st...
Prior research has shown how 'content preview tools' improve speed and
a...
In informational recommenders, many challenges arise from the need to ha...
This volume contains the position papers presented at CSCW 2021 Workshop...
Information availability affects people's behavior and perception of the...
In NLP, a large volume of tasks involve pairwise comparison between two
...
Labelling data is a major practical bottleneck in training and testing
c...
Educational recommenders have received much less attention in comparison...
There is increasing attention to evaluating the fairness of search syste...
Evaluation efforts such as TREC, CLEF, NTCIR and FIRE, alongside public
...
The TREC Deep Learning (DL) Track studies ad hoc search in the large dat...
The MultiWOZ 2.0 dataset was released in 2018. It consists of more than
...
Leaderboards are a ubiquitous part of modern research in applied machine...
This is the second year of the TREC Deep Learning Track, with the goal o...
An indispensable component in task-oriented dialogue systems is the dial...
With the emergence of e-learning and personalised education, the product...
Users of Web search engines reveal their information needs through queri...
Nowadays, more and more Web services are provided by different enterpris...
The explosion of Open Educational Resources (OERs) in the recent years
c...
As deep learning based models are increasingly being used for informatio...
The Deep Learning Track is a new track for TREC 2019, with the goal of
s...
One of the most ambitious use cases of computer-assisted learning is to ...
The recent advances in computer-assisted learning systems and the
availa...
While a wide range of interpretable generative procedures for graphs exi...
Asynchronous events on the continuous time domain, e.g., social media ac...
Classical information retrieval (IR) methods, such as query likelihood a...
This paper proposes a variational self-attention model (VSAM) that emplo...
We consider the problem of understanding real world tasks depicted in vi...
A significant amount of search queries originate from some real world
in...