Retrieval Model
Related Papers
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing
AbstractIn this paper, we present an approach to incorporate retrieved datapoints as supporting evidence for context-dependent semantic parsing, such as generating source code conditioned on the class environment. Our approach …...
“None of the Above”: Measure Uncertainty in Dialog Response Retrieval
AbstractThis paper discusses the importance of uncovering uncertainty in end-to-end dialog tasks and presents our experimental results on uncertainty classification on the processed Ubuntu Dialog Corpus. We show that instead …...
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization
AbstractQuestion Answering (QA) tasks requiring information from multiple documents often rely on a retrieval model to identify relevant information for reasoning. The retrieval model is typically trained to maximize the …...
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances
AbstractIn this paper, we consider mimicking fictional characters as a promising direction for building engaging conversation models. To this end, we present a new practical task where only a few …...
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering
AbstractThe retrieval model is an indispensable component for real-world knowledge-intensive tasks, e.g., open-domain question answering (ODQA). As separate retrieval skills are annotated for different datasets, recent work focuses on customized …...
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media
AbstractWe present Reddit Health Online Talk (RedHOT), a corpus of 22,000 richly annotated social media posts from Reddit spanning 24 health conditions. Annotations include demarcations of spans corresponding to medical …...