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Found 5 papers, 3 papers with code
CODEC: Complex Document and Entity Collection
We also show that the manual query reformulations significantly improve document ranking and entity ranking performance.
Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an important direction for improving the quality of the system response.
CEQE: Contextualized Embeddings for Query Expansion
We find that CEQE outperforms static embedding-based expansion methods on multiple collections (by up to 18% on Robust and 31% on Deep Learning on average precision) and also improves over proven probabilistic pseudo-relevance feedback (PRF) models.
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback
Tools capable of automatic code generation have the potential to augment programmer's capabilities.
TREC CAsT 2019: The Conversational Assistance Track Overview
A common theme through the runs is the use of BERT-based neural reranking methods.
