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Found 4 papers, 2 papers with code
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
Further, it employs a fulfillment representation layer for learning how many task attributes have been fulfilled in the dialogue, an importance predictor component for calculating the importance of task attributes.
Rethinking Semi-supervised Learning with Language Models
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?
This raises questions about when such summaries are sufficient for relevance estimation by the ranking model or the human assessor, and whether humans and machines benefit from the document's full text in similar ways.
On the Social and Technical Challenges of Web Search Autosuggestion Moderation
Past research shows that users benefit from systems that support them in their writing and exploration tasks.
