Show simple item record

dc.contributor.authorDROOG-HAYES, M
dc.contributor.authorWIGGINS, GA
dc.contributor.authorPURVER, MRJ
dc.contributor.author13th IEEE International Conference on Semantic Computing
dc.date.accessioned2019-03-28T14:32:18Z
dc.date.available2018-12-05
dc.date.available2019-03-28T14:32:18Z
dc.date.issued2019-02-01
dc.identifier.citationDroog-Hayes, M., Wiggins, G. and Purver, M. (2019). Detecting Summary-Worthy Sentences: The Effect of Discourse Features. 2019 IEEE 13th International Conference on Semantic Computing (ICSC). [online] Available at: https://ieeexplore.ieee.org/abstract/document/8665576 [Accessed 28 Mar. 2019].en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/56572
dc.description.abstractWe examine the benefit of a variety of discourse and semantic features for the identification of summary-worthy content in narrative stories. Using logistic regression models, we find that the most informative features are those that relate to the narrative structure of a text. We show that automatic methods for feature extraction perform significantly worse than full manual annotation, but that with optimization, a fully automatic approach can outperform a variety of existing extractive approaches to summarization.en_US
dc.publisherIEEEen_US
dc.titleDetecting Summary-worthy Sentences: the Effect of Discourse Featuresen_US
dc.typeConference Proceedingen_US
dc.rights.holder© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
dcterms.dateAccepted2018-12-05
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record