no code implementations • SIGDIAL (ACL) 2022 • Carlos Gemmell, Federico Rossetto, Iain Mackie, Paul Owoicho, Sophie Fischer, Jeff Dalton
We present GRILLBot, an open-source multi-modal task-oriented voice assistant to help users perform complex tasks, focusing on the domains of cooking and home improvement.
1 code implementation • 1 Mar 2024 • Sophie Fischer, Federico Rossetto, Carlos Gemmell, Andrew Ramsay, Iain Mackie, Philip Zubel, Niklas Tecklenburg, Jeffrey Dalton
We present the second version of the Open Assistant Toolkit (OAT-v2), an open-source task-oriented conversational system for composing generative neural models.
1 code implementation • 12 Feb 2024 • Sophie Fischer, Carlos Gemmell, Niklas Tecklenburg, Iain Mackie, Federico Rossetto, Jeffrey Dalton
We tackle the challenge of building real-world multimodal assistants for complex real-world tasks.
1 code implementation • 11 Jan 2024 • Shubham Chatterjee, Iain Mackie, Jeff Dalton
While entity-oriented neural IR models have advanced significantly, they often overlook a key nuance: the varying degrees of influence individual entities within a document have on its overall relevance.
no code implementations • 29 Jun 2023 • Iain Mackie, Shubham Chatterjee, Sean MacAvaney, Jeffrey Dalton
First, we demonstrate that applying a strong neural re-ranker before sparse or dense PRF can improve the retrieval effectiveness by 5-8%.
no code implementations • 16 Jun 2023 • Iain Mackie, Ivan Sekulic, Shubham Chatterjee, Jeffrey Dalton, Fabio Crestani
Recent studies show that Generative Relevance Feedback (GRF), using text generated by Large Language Models (LLMs), can enhance the effectiveness of query expansion.
no code implementations • 12 May 2023 • Iain Mackie, Shubham Chatterjee, Jeffrey Dalton
Pseudo-relevance feedback (PRF) is a classical approach to address lexical mismatch by enriching the query using first-pass retrieval.
no code implementations • 25 Apr 2023 • Iain Mackie, Shubham Chatterjee, Jeffrey Dalton
Current query expansion models use pseudo-relevance feedback to improve first-pass retrieval effectiveness; however, this fails when the initial results are not relevant.
no code implementations • 11 Nov 2022 • Elena Soare, Iain Mackie, Jeffrey Dalton
We perform experiments on the Spider family of datasets that contain complex questions that are cross-domain and multi-table.
no code implementations • 8 Nov 2022 • Iain Mackie, Jeffrey Dalton
This workshop paper discusses automating the construction of query-specific document and entity knowledge graphs (KGs) for complex research topics.
no code implementations • 31 Aug 2022 • Carlos Gemmell, Iain Mackie, Paul Owoicho, Federico Rossetto, Sophie Fischer, Jeffrey Dalton
GRILLBot is the winning system in the 2022 Alexa Prize TaskBot Challenge, moving towards the next generation of multimodal task assistants.
2 code implementations • 23 Aug 2022 • Sophie Fischer, Carlos Gemmell, Iain Mackie, Jeffrey Dalton
This work addresses challenges in developing conversational assistants that support rich multimodal video interactions to accomplish real-world tasks interactively.
2 code implementations • 9 May 2022 • Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton
We also show that the manual query reformulations significantly improve document ranking and entity ranking performance.
1 code implementation • 17 May 2021 • Iain Mackie, Jeffery Dalton, Andrew Yates
Deep Learning Hard (DL-HARD) is a new annotated dataset designed to more effectively evaluate neural ranking models on complex topics.