Elworthy, David; Russell-Rose, Tony; Clare, Amanda and Kotcheff, Aaron. 2001. A natural language system for retrieval of captioned images. Natural Language Engineering, 7(2), pp. 117-142. ISSN 1351-3249 [Article]

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Abstract or Description

ANVIL is an information retrieval system using natural language processing techniques, intended for retrieval of captioned images. It extracts dependency structures from the image captions and user queries, and then applies a high accuracy matching algorithm which recursively explores the dependency structures to determine their similarity. A further algorithm allows additional contextual information to be extracted following a successful match, with the intention of helping users understand and organise the retrieval results. ANVIL was developed to high engineering standards, and as well as looking at the research aspects of the system, we also look at some of the design and development issues. English and Japanese versions of the system have been developed.

Item Type:	Article
Identification Number (DOI):	https://doi.org/10.1017/S1351324901002571
Departments, Centres and Research Units:	Computing
Dates:	Date Event 1 January 2001 Accepted 1 June 2001 Published
Item ID:	29762
Date Deposited:	04 Mar 2021 10:21
Last Modified:	04 Mar 2021 10:21
Peer Reviewed:	Yes, this version has been peer-reviewed.
URI:	https://research.gold.ac.uk/id/eprint/29762

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