Passage Level Evidence for Effective Document Level Retrieval

Ghulam Sarwar, Colm O'Riordan, John Newell

2017

Abstract

Several researchers have considered the use of passages within documents as useful units of representation as individual passages may capture accurately the topic of discourse in a document. In this work, each document is indexed as a series of unique passages. We explore and analyse a number of similarity measures which take into account the similarity at passage level with the aim of improving the quality of the answer set. We define a number of such passage level approaches and compare their performance. Mean average precision (MAP) and precision at k documents (P@k) are used as measures of the quality of the approaches. The results show that for the different test collections, the rank of a passage is a useful measure, and when used separately or in conjunction with the document score can give better results as compared to other passage or document level similarity approaches.

Paper Citation

in Harvard Style

Sarwar G., O'Riordan C. and Newell J. (2017). Passage Level Evidence for Effective Document Level Retrieval.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 83-90. DOI: 10.5220/0006502800830090

in Bibtex Style

@conference{kdir17,
author={Ghulam Sarwar and Colm O'Riordan and John Newell},
title={Passage Level Evidence for Effective Document Level Retrieval},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={83-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006502800830090},
isbn={978-989-758-271-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Passage Level Evidence for Effective Document Level Retrieval
SN - 978-989-758-271-4
AU - Sarwar G.
AU - O'Riordan C.
AU - Newell J.
PY - 2017
SP - 83
EP - 90
DO - 10.5220/0006502800830090