Assembling Actor-based Mind-Maps from Text Stream

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dc.creatorBrucks, Claudine
dc.creatorSchommer, Christoph
dc.date2008-10-25
dc.date.accessioned2026-07-07T10:13:17Z
dc.date.available2026-07-07T10:13:17Z
dc.descriptionFor human beings, the processing of text streams of unknown size leads generally to problems because e.g. noise must be selected out, information be tested for its relevance or redundancy, and linguistic phenomenon like ambiguity or the resolution of pronouns be advanced. Putting this into simulation by using an artificial mind-map is a challenge, which offers the gate for a wide field of applications like automatic text summarization or punctual retrieval. In this work we present a framework that is a first step towards an automatic intellect. It aims at assembling a mind-map based on incoming text streams and on a subject-verb-object strategy, having the verb as an interconnection between the adjacent nouns. The mind-map's performance is enriched by a pronoun resolution engine that bases on the work of D. Klein, and C. D. Manning.
dc.description12 pages, 8 Figures
dc.identifierhttps://arxiv.org/abs/0810.4616
dc.identifierhttp://arxiv.org/abs/0810.4616
dc.identifierSummary of the Master Thesis "Actor-based Mind-map learning from Text Streams". Dept. of Computer Science and Communication, University of Luxembourg, 2008
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/172474
dc.subjectComputation and Language
dc.subjectDigital Libraries
dc.subjectI.2.4; H.3.1
dc.titleAssembling Actor-based Mind-Maps from Text Stream
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