575 citations · 1.7k across the 39 of their papers we have counts for
7 papers · 1 filter
Generating Categories for Sets of Entities
Shuo Zhang, Krisztian Balog, Jamie Callan
Category systems are central components of knowledge bases, as they provide a hierarchical grouping of semantically related concepts and entities. They are a unique and valuable re…
Ranking Clarification Questions via Natural Language Inference
Vaibhav Kumar, Vikas Raunak, Jamie Callan
Given a natural language query, teaching machines to ask clarifying questions is of immense utility in practical natural language processing systems. Such interactions could help i…
Understanding BERT Rankers Under Distillation
Luyu Gao, Zhuyun Dai, Jamie Callan
Deep language models such as BERT pre-trained on large corpus have given a huge performance boost to the state-of-the-art information retrieval ranking systems. Knowledge embedded…
Summarizing and Exploring Tabular Data in Conversational Search
Shuo Zhang, Zhuyun Dai, Krisztian Balog +1
Tabular data provide answers to a significant portion of search queries. However, reciting an entire result table is impractical in conversational search systems. We propose to gen…
Complementing Lexical Retrieval with Semantic Residual Embedding
Luyu Gao, Zhuyun Dai, Tongfei Chen +3
This paper presents CLEAR, a retrieval model that seeks to complement classical lexical exact-match models such as BM25 with semantic matching signals from a neural embedding match…
Modularized Transfomer-based Ranking Framework
Luyu Gao, Zhuyun Dai, Jamie Callan
Recent innovations in Transformer-based ranking models have advanced the state-of-the-art in information retrieval. However, these Transformers are computationally expensive, and t…
TREC CAsT 2019: The Conversational Assistance Track Overview
Jeffrey Dalton, Chenyan Xiong, Jamie Callan
The Conversational Assistance Track (CAsT) is a new track for TREC 2019 to facilitate Conversational Information Seeking (CIS) research and to create a large-scale reusable test co…