RMIT @ TREC 2016 Dynamic Domain: Exploiting Passage Representation for Retrieval and Relevance Feedback

  • Ameer Albahem
  • Damiano Spina
  • Lawrence Cavedon
  • Falk Scholer
Text REtrieval Conference (TREC), 2016

The TREC Dynamic Domain search task addresses search scenarios where users engage interactively with search systems to tackle domain-specific information needs. In our participation, we focused on utilizing passage-based representations in document retrieval and user feedback processing. In addition, we submitted a baseline retrieval method and a manual run that considers only relevant documents in the top 1000 retrieved documents. Results show that the passage based representation is inferior to the baseline method but differences are not statistically significant in terms of the Cube Test and the Average Cube Test metrics.

@inproceedings{albahem2016trecdd,
  title={RMIT @ TREC 2016 Dynamic Domain: Exploiting Passage Representation for
             Retrieval and Relevance Feedback},
  author={Albahem, Ameer and Spina, Damiano and Cavedon, Lawrence and Scholer, Falk},
  booktitle={TREC},
  year={2016}
}
Damiano Spina
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