About: Extraction of Natural Language Requirements from Breach Reports Using Event Inference

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
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dc:hasVersion	Extraction of Natural Language Requirements from Breach Reports Using Event Inference (PDF)
Title	Extraction of Natural Language Requirements from Breach Reports Using Event Inference
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2018-10-22
Creator	Hui Guo Munindar Singh Özgur Kafalı
status	peer reviewed published
Publisher	IEEE
abstract	We address the problem of extracting useful information contained in security and privacy breach reports. A breach report tells a short story describing how a breach happened and the follow-up remedial actions taken by the responsible parties. By predicting sentences that may follow a breach description using natural language processing, our goal is to suggest security and privacy requirements for practitioners and end users that can be used to prevent and recover from such breaches. We prepare a curated dataset of structured short breach stories using unstructured breach reports published by the U.S. Department of Health and Human Services. We propose a prediction model for inferring held-out sentences based on Paragraph Vector, a document embedding method, and Long Short-Term Memory networks. The predicted sentences can suggest natural language requirements. We evaluate our model on the curated dataset as well as the ROCStories corpus, a collection of five-sentence commonsense stories, and find that the presented model performs significantly better than the baseline of using average word vectors.
Is Part Of	https://kar.kent.ac.uk/id/repository
list of authors	https://kar.kent.ac.uk/id/eprint/73790#authors
presented at	2018 5th International Workshop on Artificial Intelligence for Requirements Engineering (AIRE 2018)
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #73790 Extraction of Natural Language Requirements from Breach Reports Using Event Inference

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