101 citations · 125 across the 6 of their papers we have counts for
6 papers
Zero-shot Clarifying Question Generation for Conversational Search
Zhenduo Wang, Yuancheng Tu, Corby Rosset +3
A long-standing challenge for search and conversational assistants is query intention detection in ambiguous queries. Asking clarifying questions in conversational search has been…
Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems
Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra +2
Recently, several dense retrieval (DR) models have demonstrated competitive performance to term-based retrieval that are ubiquitous in search systems. In contrast to term-based mat…
Human Preferences as Dueling Bandits
Xinyi Yan, Chengxi Luo, Charles L. A. Clarke +3
The dramatic improvements in core information retrieval tasks engendered by neural rankers create a need for novel evaluation methods. If every ranker returns highly relevant items…
Scalable Methods for Calculating Term Co-Occurrence Frequencies
Bodo Billerbeck, Justin Zobel, Nicholas Lester +1
Search techniques make use of elementary information such as term frequencies and document lengths in computation of similarity weighting. They can also exploit richer statistics,…
Learning to Match Using Local and Distributed Representations of Text for Web Search
Bhaskar Mitra, Fernando Diaz, Nick Craswell
Models such as latent semantic analysis and those based on neural embeddings learn distributed representations of text, and match the query against the document in the latent seman…
A Dual Embedding Space Model for Document Ranking
Bhaskar Mitra, Eric Nalisnick, Nick Craswell +1
A fundamental goal of search engines is to identify, given a query, documents that have relevant text. This is intrinsically difficult because the query and the document may use di…