Information Retrieval

Our work brings together research expertise in information retrieval (IR), natural language processing and data science. We focus on core IR topics such as collaborative search, conversational search and data-hungry ranking models. We also focus on the application of IR to various domains, most prominently the educational domain.

Search as learning

With this topic, we aim at improving the search platforms to better enable people to learn whilst searching.

Collaborative search

We move from the paradigm of small-group collaborative searching to large-group collaborative searching.

Conversational search

With this research topic, we investigate how to perform searching via a conversation with a conversational agent.

Information Retrieval for FinTech

We investigate methods for rule extraction from regulatory documents.

Neural Information Retrieval

We are interested in researching and dissecting neural IR approaches.