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Detecting Everyday Scenarios in Narrative Texts

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dc.contributor.author Lilian D.A. Wanzare, Michael Roth, Manfred Pinkal
dc.date.accessioned 2020-11-23T08:57:07Z
dc.date.available 2020-11-23T08:57:07Z
dc.date.issued 2019
dc.identifier.uri https://repository.maseno.ac.ke/handle/123456789/2901
dc.description.abstract Script knowledge consists of detailed information on everyday activities. Such information is often taken for granted in text and needs to be inferred by readers. Therefore, script knowledge is a central component to language comprehension. Previous work on representing scripts is mostly based on extensive manual work or limited to scenarios that can be found with sufficient redundancy in large corpora. We introduce the task of scenario detection, in which we identify references to scripts. In this task, we address a wide range of different scripts (200 scenarios) and we attempt to identify all references to them in a collection of narrative texts. We present a first benchmark data set and a baseline model that tackles scenario detection using techniques from topic segmentation and text classification. en_US
dc.publisher Universitat des Saarlandes en_US
dc.title Detecting Everyday Scenarios in Narrative Texts en_US
dc.type Article en_US


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