Alarfaj, F and Kruschwitz, U and Fox, C (2014) Exploring Adaptive Window Sizes for Entity Retrieval. In: UNSPECIFIED, ? - ?.
Alarfaj, F and Kruschwitz, U and Fox, C (2014) Exploring Adaptive Window Sizes for Entity Retrieval. In: UNSPECIFIED, ? - ?.
Alarfaj, F and Kruschwitz, U and Fox, C (2014) Exploring Adaptive Window Sizes for Entity Retrieval. In: UNSPECIFIED, ? - ?.
Abstract
With the continuous attention of modern search engines to retrieve entities and not just documents for any given query, we introduce a new method for enhancing the entity-ranking task. An entity-ranking task is concerned with retrieving a ranked list of entities as a response to a specific query. Some successful models used the idea of association discovery in a window of text, rather than in the whole document. However, these studies considered only fixed window sizes. This work proposes a way of generating an adaptive window size for each document by utilising some of the document features. These features include document length, average sentence length, number of entities in the document, and the readability index. Experimental results show a positive effect once taking these document features into consideration when determining window size.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Notes: Proceedings of the 36th European Conference on Information Retrieval (ECIR?13), Amsterdam, 2014 |
Subjects: | P Language and Literature > P Philology. Linguistics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 04 Dec 2014 13:12 |
Last Modified: | 24 Oct 2024 20:38 |
URI: | http://repository.essex.ac.uk/id/eprint/11978 |
Available files
Filename: Alarfaj2014.pdf