9 citations · 12 across the 3 of their papers we have counts for
3 papers
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
Chuan Meng, Francesco Tonolini, Fengran Mo +3
Proactive search in conversations (PSC) aims to reduce user effort in formulating explicit queries by proactively retrieving useful relevant information given conversational contex…
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…