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05/26/2023
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
User Satisfaction Modeling (USM) is one of the popular choices for task-...
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05/23/2023
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues
Task-oriented dialogue systems aim at providing users with task-specific...
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05/22/2023
Rethinking Semi-supervised Learning with Language Models
Semi-supervised learning (SSL) is a popular setting aiming to effectivel...
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05/21/2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process
Dialogue systems have received increasing attention while automatically ...
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05/13/2023
Scalable Educational Question Generation with Pre-trained Language Models
The automatic generation of educational questions will play a key role i...
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04/23/2023
Query-specific Variable Depth Pooling via Query Performance Prediction towards Reducing Relevance Assessment Effort
Due to the massive size of test collections, a standard practice in IR e...
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12/07/2022
Pre-Training With Scientific Text Improves Educational Question Generation
With the boom of digital educational materials and scalable e-learning s...
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10/22/2022
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
Existing dialogue datasets contain lots of noise in their state annotati...
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10/21/2022
Just Mix Once: Worst-group Generalization by Group Interpolation
Advances in deep learning theory have revealed how average generalizatio...
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06/22/2022
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments
This work explores how population-based engagement prediction can addres...
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06/19/2022
Integrated Weak Learning
We introduce Integrated Weak Learning, a principled framework that integ...
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04/14/2022
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking
Dialogue State Tracking (DST) aims to keep track of users' intentions du...
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02/26/2022
ASSIST: Towards Label Noise-Robust Dialogue State Tracking
The MultiWOZ 2.0 dataset has greatly boosted the research on dialogue st...
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01/10/2022
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
Prior research has shown how 'content preview tools' improve speed and a...
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12/08/2021
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems
In informational recommenders, many challenges arise from the need to ha...
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11/29/2021
Proceedings of the CSCW 2021 Workshop – Investigating and Mitigating Biases in Crowdsourced Data
This volume contains the position papers presented at CSCW 2021 Workshop...
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10/17/2021
Towards More Accountable Search Engines: Online Evaluation of Representation Bias
Information availability affects people's behavior and perception of the...
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09/27/2021
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
In NLP, a large volume of tasks involve pairwise comparison between two ...
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09/24/2021
Sample Efficient Model Evaluation
Labelling data is a major practical bottleneck in training and testing c...
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09/03/2021
PEEK: A Large Dataset of Learner Engagement with Educational Videos
Educational recommenders have received much less attention in comparison...
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08/11/2021
Estimation of Fair Ranking Metrics with Incomplete Judgments
There is increasing attention to evaluating the fairness of search syste...
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05/09/2021
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
Evaluation efforts such as TREC, CLEF, NTCIR and FIRE, alongside public ...
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04/19/2021
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
The TREC Deep Learning (DL) Track studies ad hoc search in the large dat...
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04/01/2021
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation
The MultiWOZ 2.0 dataset was released in 2018. It consists of more than ...
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02/25/2021
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
Leaderboards are a ubiquitous part of modern research in applied machine...
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02/15/2021
Overview of the TREC 2020 deep learning track
This is the second year of the TREC Deep Learning Track, with the goal o...
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01/22/2021
Slot Self-Attentive Dialogue State Tracking
An indispensable component in task-oriented dialogue systems is the dial...
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11/02/2020
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement
With the emergence of e-learning and personalised education, the product...
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06/09/2020
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search
Users of Web search engines reveal their information needs through queri...
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06/01/2020
Outlier Resilient Collaborative Web Service QoS Prediction
Nowadays, more and more Web services are provided by different enterpris...
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05/31/2020
Predicting Engagement in Video Lectures
The explosion of Open Educational Resources (OERs) in the recent years c...
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04/28/2020
On the Reliability of Test Collections for Evaluating Systems of Different Types
As deep learning based models are increasingly being used for informatio...
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03/17/2020
Overview of the TREC 2019 deep learning track
The Deep Learning Track is a new track for TREC 2019, with the goal of s...
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12/03/2019
Towards an Integrative Educational Recommender for Lifelong Learners
One of the most ambitious use cases of computer-assisted learning is to ...
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11/21/2019
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
The recent advances in computer-assisted learning systems and the availa...
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10/12/2019
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
While a wide range of interpretable generative procedures for graphs exi...
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07/17/2019
Self-Attentive Hawkes Processes
Asynchronous events on the continuous time domain, e.g., social media ac...
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07/08/2019
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
Classical information retrieval (IR) methods, such as query likelihood a...
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12/30/2018
Variational Self-attention Model for Sentence Representation
This paper proposes a variational self-attention model (VSAM) that emplo...
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11/28/2018
Towards Task Understanding in Visual Settings
We consider the problem of understanding real world tasks depicted in vi...
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06/06/2017
