activity
20172022
most citedOverview of the TREC 2020 deep learning track

117 citations · 300 across the 19 of their papers we have counts for

collaborators

27 papers

cs.CL20221 cited

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking

Yue Feng, Aldo Lipani, Fanghua Ye +2

Dialogue State Tracking (DST) aims to keep track of users' intentions during the course of a conversation. In DST, modelling the relations among domains and slots is still an under…

cs.CL2022

ASSIST: Towards Label Noise-Robust Dialogue State Tracking

Fanghua Ye, Yue Feng, Emine Yilmaz

The MultiWOZ 2.0 dataset has greatly boosted the research on dialogue state tracking (DST). However, substantial noise has been discovered in its state annotations. Such noise brin…

cs.IR20211 cited

Towards More Accountable Search Engines: Online Evaluation of Representation Bias

Aldo Lipani, Florina Piroi, Emine Yilmaz

Information availability affects people's behavior and perception of the world. Notably, people rely on search engines to satisfy their need for information. Search engines deliver…

cs.LG20211 cited

Sample Efficient Model Evaluation

Emine Yilmaz, Peter Hayes, Raza Habib +2

Labelling data is a major practical bottleneck in training and testing classifiers. Given a collection of unlabelled data points, we address how to select which subset to label to…

cs.IR20214 cited

PEEK: A Large Dataset of Learner Engagement with Educational Videos

Sahan Bulathwela, Maria Perez-Ortiz, Erik Novak +2

Educational recommenders have received much less attention in comparison to e-commerce and entertainment-related recommenders, even though efficient intelligent tutors have great p…

cs.IR2021

Estimation of Fair Ranking Metrics with Incomplete Judgments

Ömer Kırnap, Fernando Diaz, Asia Biega +3

There is increasing attention to evaluating the fairness of search system ranking decisions. These metrics often consider the membership of items to particular groups, often identi…