Dr Jeff Dalton

  • Lecturer in Information Retrieval (Computing Science)

Biography

Dr Dalton completed his PhD in 2014 from the University of Massachusetts Amherst at the Center for Intelligent Information Retrieval (CIIR), a leading international research group in search. After completing his PhD, he joined Google Research studying information extraction with the Knowledge Discovery team (led by Kevin Murphy and Evgeniy Gabrilovich). His experience at Google also includes contributing to the launch of Sympton Search and as a developer in the Google Assistant NLU team. 

Research interests

My research interests focus on the intersection of natural language understanding and information seeking systems. I study methods for effectively creating and leveraging knowledge resources (such as Knowledge Graphs) for complex tasks. Application areas of interest include: health and biomedical, travel and food, science and engineering, and history. 

I lead the Glasgow Representation and Information Learning Lab (GRILL). 

Publications

List by: Type | Date

Jump to: 2021 | 2020 | 2019 | 2018 | 2014
Number of items: 14.

2021

Jose, K. M., Nguyen, T., MacAvaney, S. , Dalton, J. and Yates, A. (2021) DiffIR: Exploring Differences in Ranking Models' Behavior. In: SIGIR 2021: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 11-15 July 2021, (Accepted for Publication)

Dalton, J. , Mackie, I. and Yates, A. (2021) How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. In: SIGIR 2021: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 11-15 July 2021, (Accepted for Publication)

Naseri, S., Dalton, J. , Yates, A. and Allan, J. (2021) CEQE: Contextualized Embeddings for Query Expansion. In: 43rd European Conference on IR Research, ECIR 2021, 28 Mar - 1 Apr 2021, ISBN 9783030721121 (doi:10.1007/978-3-030-72113-8_31)

2020

Czyzewski, A., Dalton, J. and Leuski, A. (2020) Agent Dialogue: A Platform for Conversational Information Seeking Experimentation. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2121-2124. ISBN 9781450380164 (doi:10.1145/3397271.3401397)

Dalton, J. , Xiong, C., Kumar, V. and Callan, J. (2020) CAsT-19: A Dataset for Research on Conversational Information Seeking. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 1985-1988. ISBN 9781450380164 (doi:10.1145/3397271.3401206)

Gemmell, C., Dalton, J. and Rossetto, F. (2020) Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2005-2008. ISBN 9781450380164 (doi:10.1145/3397271.3401215)

Manotumruksa, J., Dalton, J. , Meij, E. and Yilmaz, E. (2020) CrossBERT: a Triplet Neural Architecture for Ranking Entity Properties. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2049-2052. ISBN 9781450380164 (doi:10.1145/3397271.3401265)

Dietz, L. and Dalton, J. (2020) Humans optional? Automatic large-scale test collections for entity, passage, and entity-passage retrieval. Datenbank-Spektrum, 20, pp. 17-28. (doi: 10.1007/s13222-020-00334-y)

Jones, Y., Deligianni, F. and Dalton, J. (2020) Improving ECG Classification Interpretability Using Saliency Maps. In: 20th IEEE International Conference on BioInformatics and BioEngineering, 26-28 Oct 2020, pp. 675-682. ISBN 9781728195742 (doi:10.1109/BIBE50027.2020.00114)

2019

Dalton, J. , Naseri, S., Dietz, L. and Allan, J. (2019) Local and global query expansion for hierarchical complex topics. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C. and Hiemstra, D. (eds.) Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–18, 2019. Series: Lecture Notes in Computer Science (11437). Springer, pp. 290-303. ISBN 9783030157111 (doi:10.1007/978-3-030-15712-8_19)

2018

Dalton, J. and Foley, J. (2018) Search Agent Model: a Conceptual Framework for Search by Algorithms and Agent Systems. In: 1st Biennial Conference on Design of Experimental Search & Information Retrieval Systems (DESIRES 2018), Bertinoro, Italy, 29-31 Aug 2018, pp. 22-28.

Dalton, J. , Ajayi, V. and Main, R. (2018) Vote Goat: Conversational Movie Recommendation. In: 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor, MI, USA, 8-12 Jul 2018, pp. 1285-1288. ISBN 9781450356572 (doi:10.1145/3209978.3210168)

Azzopardi, L., Dubiel, M., Halvey, M. and Dalton, J. (2018) Conceptualizing Agent-Human Interactions during the Conversational Search Process. 2nd International Workshop on Conversational Approaches to Information Retrieval (CAIR'18), Ann Arbor, MI, USA, 12 Jul 2018. (Accepted for Publication)

2014

Dalton, J. , Dietz, L. and Allan, J. (2014) Entity Query Feature Expansion Using Knowledge Base Links. In: 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, Gold Coast, Qld, Australia, 6-11 Jul 2014, pp. 365-374. ISBN 9781450322577 (doi:10.1145/2600428.2609628)

This list was generated on Wed May 12 22:46:42 2021 BST.
Jump to: Articles | Book Sections | Conference or Workshop Item | Conference Proceedings
Number of items: 14.

Articles

Dietz, L. and Dalton, J. (2020) Humans optional? Automatic large-scale test collections for entity, passage, and entity-passage retrieval. Datenbank-Spektrum, 20, pp. 17-28. (doi: 10.1007/s13222-020-00334-y)

Book Sections

Dalton, J. , Naseri, S., Dietz, L. and Allan, J. (2019) Local and global query expansion for hierarchical complex topics. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C. and Hiemstra, D. (eds.) Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–18, 2019. Series: Lecture Notes in Computer Science (11437). Springer, pp. 290-303. ISBN 9783030157111 (doi:10.1007/978-3-030-15712-8_19)

Conference or Workshop Item

Azzopardi, L., Dubiel, M., Halvey, M. and Dalton, J. (2018) Conceptualizing Agent-Human Interactions during the Conversational Search Process. 2nd International Workshop on Conversational Approaches to Information Retrieval (CAIR'18), Ann Arbor, MI, USA, 12 Jul 2018. (Accepted for Publication)

Conference Proceedings

Jose, K. M., Nguyen, T., MacAvaney, S. , Dalton, J. and Yates, A. (2021) DiffIR: Exploring Differences in Ranking Models' Behavior. In: SIGIR 2021: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 11-15 July 2021, (Accepted for Publication)

Dalton, J. , Mackie, I. and Yates, A. (2021) How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. In: SIGIR 2021: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 11-15 July 2021, (Accepted for Publication)

Naseri, S., Dalton, J. , Yates, A. and Allan, J. (2021) CEQE: Contextualized Embeddings for Query Expansion. In: 43rd European Conference on IR Research, ECIR 2021, 28 Mar - 1 Apr 2021, ISBN 9783030721121 (doi:10.1007/978-3-030-72113-8_31)

Czyzewski, A., Dalton, J. and Leuski, A. (2020) Agent Dialogue: A Platform for Conversational Information Seeking Experimentation. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2121-2124. ISBN 9781450380164 (doi:10.1145/3397271.3401397)

Dalton, J. , Xiong, C., Kumar, V. and Callan, J. (2020) CAsT-19: A Dataset for Research on Conversational Information Seeking. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 1985-1988. ISBN 9781450380164 (doi:10.1145/3397271.3401206)

Gemmell, C., Dalton, J. and Rossetto, F. (2020) Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2005-2008. ISBN 9781450380164 (doi:10.1145/3397271.3401215)

Manotumruksa, J., Dalton, J. , Meij, E. and Yilmaz, E. (2020) CrossBERT: a Triplet Neural Architecture for Ranking Entity Properties. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2049-2052. ISBN 9781450380164 (doi:10.1145/3397271.3401265)

Jones, Y., Deligianni, F. and Dalton, J. (2020) Improving ECG Classification Interpretability Using Saliency Maps. In: 20th IEEE International Conference on BioInformatics and BioEngineering, 26-28 Oct 2020, pp. 675-682. ISBN 9781728195742 (doi:10.1109/BIBE50027.2020.00114)

Dalton, J. and Foley, J. (2018) Search Agent Model: a Conceptual Framework for Search by Algorithms and Agent Systems. In: 1st Biennial Conference on Design of Experimental Search & Information Retrieval Systems (DESIRES 2018), Bertinoro, Italy, 29-31 Aug 2018, pp. 22-28.

Dalton, J. , Ajayi, V. and Main, R. (2018) Vote Goat: Conversational Movie Recommendation. In: 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor, MI, USA, 8-12 Jul 2018, pp. 1285-1288. ISBN 9781450356572 (doi:10.1145/3209978.3210168)

Dalton, J. , Dietz, L. and Allan, J. (2014) Entity Query Feature Expansion Using Knowledge Base Links. In: 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, Gold Coast, Qld, Australia, 6-11 Jul 2014, pp. 365-374. ISBN 9781450322577 (doi:10.1145/2600428.2609628)

This list was generated on Wed May 12 22:46:42 2021 BST.

Supervision

  • Carlos Gemmell
    Deep learning for structured prediction using interative dialogue
  • Iain Mackie
    Deep Learning for Information Extraction andKnowledge-Centric Entity and Text Ranking

  • Federico Rosetto
    Multi-modal music conversational assistance using reinforcement learning

  • Paul Owoicho
    Mixed-initiative and feedback for Conversational Information Seeking 

Teaching


Jeff Dalton Profile