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Projects | ielab
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What we build

Projects

The ielab works on a diversity of research projects in information retrieval, data science, and health informatics — many with associated open-source software and datasets.

Effective Information Access

Effective Information Access

3 members involved
Evaluation and Measurement

Evaluation and Measurement

3 members involved
Safe and Reliable Generative IR

Safe and Reliable Generative IR

5 members involved
Scalable Generative IR

Scalable Generative IR

5 members involved
AgAsk

AgAsk

5 members involved
Case Law Citation Search

Case Law Citation Search

3 members involved
Clara

Clara

3 members involved
Consumer Health Search

Consumer Health Search

5 members involved
Conversational Search

Conversational Search

6 members involved
Online Learning to Rank

Online Learning to Rank

2 members involved
QUIET

QUIET

4 members involved
trectools

trectools

3 members involved

Open-Source Software & Demonstrators

GitHub repositories associated with ielab projects and initiatives:

  • AgAsk: An agricultural conversational search agent for answering comprehensive questions.
  • searchrefiner: A query visualisation and understanding tool for systematic reviews.
  • querylab: A query visualisation and understanding tool for systematic reviews.
  • INST eval: Python implementation of the INST evaluation measure from Moffat et al.
  • Relevation: Information retrieval relevance judging system.
  • query generation: An annotator toolkit for creating manual queries from clinical decision support scenarios.
  • NLTM: Implementation of Neural Translation Language Models, along with embeddings and experimental data/results, associated with the article by G. Zuccon, B. Koopman, P. Bruza, L. Azzopardi, "Integrating and Evaluating Neural Word Embeddings in Information Retrieval", ADCS 2015.

Collections & Datasets

Find more on the ielab GitHub organisation →