7 citations · 10 across the 5 of their papers we have counts for
5 papers
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
Yue Feng, Yunlong Jiao, Animesh Prasad +3
User Satisfaction Modeling (USM) is one of the popular choices for task-oriented dialogue systems evaluation, where user satisfaction typically depends on whether the user's task g…
Rethinking Semi-supervised Learning with Language Models
Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras +3
Semi-supervised learning (SSL) is a popular setting aiming to effectively utilize unlabelled data to improve model performance in downstream natural language processing (NLP) tasks…
Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation?
Gabriella Kazai, Bhaskar Mitra, Anlei Dong +2
Traditional information retrieval (IR) ranking models process the full text of documents. Newer models based on Transformers, however, would incur a high computational cost when pr…
Proceedings of the CSCW 2021 Workshop -- Investigating and Mitigating Biases in Crowdsourced Data
Danula Hettiachchi, Mark Sanderson, Jorge Goncalves +5
This volume contains the position papers presented at CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data, held online on 23rd October 2021, at the 24th A…
On the Social and Technical Challenges of Web Search Autosuggestion Moderation
Timothy J. Hazen, Alexandra Olteanu, Gabriella Kazai +2
Past research shows that users benefit from systems that support them in their writing and exploration tasks. The autosuggestion feature of Web search engines is an example of such…