Hello! I am Shubham.
I am a Postdoctoral Research Associate working with Dr. Jeff Dalton
in the Generalized Representation and Information Learning (GRILL) Lab,
a leading research group in the School of Informatics at the University of Edinburgh that works
on Neural Information Retrieval, Conversational Information Seeking, and Large Language Models.
My research focuses on creating innovative neural information retrieval methods
that leverage Knowledge Graph semantics to enhance the way information access
systems understand and address a user's information needs.
My research intersects Information Retrieval and NLP domains, utilizing Deep
Learning to refine information access systems. I am currently involved in research on
personalized conversational assistants, entity-oriented learned-sparse IR models, and other
IR research in general.
Prior to this, I worked as a Postdoctoral Research Associate with Dr. Jeff Dalton at the
University of Glasgow, Scotland, where I was part of the prestigious Glasgow IR group. Before,
I worked as a Postdoctoral Research Associate with
Dr. Laura Dietz
at the University of New Hampshire, Durham, USA .
This was also where I completed my PhD working with Dr. Dietz.
Research Interests: Entity-Oriented Search, Text Understanding, Neural IR,
Conversational IR, Knowledge Graphs for IR, Representation Learning for IR.
For a full list of my publications, see my Google Scholar profile.
Conference Neural Entity Context Models. Pooja Oza, Shubham Chatterjee, and Laura Dietz. 2023. To appear in: Proceedings of the 12th International Joint Conference on Knowledge Graphs (IJCKG ’23)
Conference Generative Relevance Feedback with Large Language Models. Iain Mackie, Shubham Chatterjee, and Jeffrey Dalton. 2023. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’23)
Workshop Generative and Pseudo-Relevant Feedback for Sparse, Dense and Learned Sparse Retrieval. Iain Mackie, Shubham Chatterjee, and Jeffrey Dalton. 2023. Proceedings of the Workshop on Large Language Models’ Interpretation and Trustworthiness (LLMIT), CIKM ’23
Conference GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval. Iain Mackie, Ivan Sekulic, Shubham Chatterjee, Jeff Dalton, and Fabio Crestani. 2023. arXiv preprint.
Conference Predicting Guiding Entities for Entity Aspect Linking. Shubham Chatterjee and Laura Dietz. 2022. Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM' 22). Code and Data»
Conference BERT-ER: Query-Specific BERT Entity Representations for Entity Ranking. Shubham Chatterjee and Laura Dietz. 2022. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22). Code and Data»
Conference Wikimarks: Harvesting Relevance Benchmarks from Wikipedia. Laura Dietz, Shubham Chatterjee, Connor Lennox, Sumanta Kashyapi, Pooja Oza, and Ben Gamari. 2022. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22). Code and Data»
Conference An Entity-Oriented Approach for Answering Topical Information Needs. Shubham Chatterjee. 2022. Doctoral Consortium Paper. Proceedings of the 44th European Conference on Information Retrieval (ECIR ’22).
Conference Entity Retrieval Using Fine-Grained Entity Aspects. Shubham Chatterjee and Laura Dietz. 2021. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21). Code and Data»
Conference Why does this Entity matter? Support Passage Retrieval for Entity Retrieval. Shubham Chatterjee and Laura Dietz. 2019. Proceedings of the 2019 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR ’19). Code and Data»
Conference A Study of the Genetic Algorithm Parameters for solving Multi-Objective Travelling Salesman Problem. Romit Beed, Sunita Sarkar, Arindam Roy, Shubham Chatterjee. 2017. Proceedings of the 2017 IEEE International Conference on Information Technology (ICIT ’17).
Journal An Algorithm on Alert Generation for Proximity Sensing in Real Time Video Streams. Sushmita Pramanik, Shubham Chatterjee, Aparajita Datta, Debabrata Datta. 2014. International Journal of Advances in Computer Science and Technology, Volume 3, Number 11.
Journal Polychromatic Path Identification for Multiple Objects from a Video. Aparajita Datta, Sushmita Pramanik, Shubham Chatterjee, Debabrata Datta. 2014. International Journal of Advanced Trends in Computer Science and Engineering, Volume 3, Number 4.
Enhancing Search Intelligence: Text Understanding and Personlized Search through Entities. July 2023. BBC London. Virtual.
Query-Specific Entity Representations for Answering Entity-Centric Queries on the Web. January 2023. University of Glasgow, Scotland.
BERT-ER: Query-Specific BERT Entity Representations for Entity Ranking. June 2022. Curai Health. Virtual.
BERT-ER: Query-Specific BERT Entity Representations for Entity Ranking. April 2022. Radboud University, The Netherlands. Virtual.
Leveraging Entities in Document Retrieval: An Introduction to Entity Oriented Search. November 2021. University of New Hampshire, Durham, USA.
Conference Committees
Award Outstanding Reviewer Award. 2022. I received an award for my outstanding reviews and service at the 44th European Conference on Information Retrieval (ECIR 2022) held in Stavanger, Norway.
Fellowship Dissertation Year Fellowship, University of New Hampshire, Durham. 2021. I received the prestigious Dissertation Year Fellowship from the graduate school at the University of New Hampshire, Durham. This fellowship covers tuition and health insurance and also pays a handsome stipend. Proposal» Code and Data»
Assistantship Teaching Assistant, University of New Hampshire, Durham. 2017. I was a teaching assistant at the Department of Computer Science from Fall 2017 to Fall 2020. This assistantship included a tuition waiver, health insurance, and also provided a handsome stipend for managing other expenses. Courses Taught»
Scholarship INSPIRE, Government of India. 2012. I received the prestigious Innovation in Science Pursuit for Inspired Research (INSPIRE) scholarship in 2012 from the Department of Science and Technology, Ministry of Science and Technology, Government of India, by virtue of my performance in the top 1% in the country in the class 12 examinations conducted by the Council for the Indian School Certificate Examinations. This scholarship not only pays the tuition for 5 years of education (covering bachelor's and master's degrees) but also pays a handsome stipend for covering day-to-day expenses.
Award The Telegraph School Awards for Excellence. 2012. I received the prestigious telegraph school awards for academic excellence by a student by virtue of my performance in the top 1% in the country in the class 12 examinations conducted by the Council for the Indian School Certificate Examinations.