Matches made in heaven: Toolkit and large-scale datasets for supervised query reformulation

Negar Arabzadeh, Amin Bigdeli, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri
January 2021

Abstract

This paper presents a toolkit and large-scale datasets for supervised query reformulation, advancing the field of query understanding and improvement.

Type
Conference paper
Publication
Proceedings of the 30th ACM International Conference on Information & Knowledge Management

This work provides comprehensive tools and datasets for advancing query reformulation research.

Query Reformulation Toolkit Large-Scale Datasets Supervised Learning Information Retrieval
Shirin Seyedsalehi
PhD Student (Alumni)

Shirin Seyedsalehi is a former PhD student and alumna of the Human-Centered Machine Intelligence Lab.

Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.