The task of radiology reporting comprises describing and interpreting th...
Sparse and dense pseudo-relevance feedback (PRF) approaches perform poor...
Recent studies show that Generative Relevance Feedback (GRF), using text...
Pseudo-relevance feedback (PRF) is a classical approach to address lexic...
This research aims to explore various methods for assessing user feedbac...
Current query expansion models use pseudo-relevance feedback to improve
...
Tabular question answering (TQA) presents a challenging setting for neur...
Current SQL generators based on pre-trained language models struggle to
...
Across the financial domain, researchers answer complex questions by
ext...
GRILLBot is the winning system in the 2022 Alexa Prize TaskBot Challenge...
The ability to extrapolate, i.e., to make predictions on sequences that ...
This work addresses challenges in developing conversational assistants t...
CODEC is a document and entity ranking benchmark that focuses on complex...
Enabling open-domain dialogue systems to ask clarifying questions when
a...
In this work we leverage recent advances in context-sensitive language m...
Tools capable of automatic code generation have the potential to augment...
The Conversational Assistance Track (CAsT) is a new track for TREC 2019 ...