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Character Profiling in 19th Century Fiction

Conference paper
Authors Dimitrios Kokkinakis
Mats Malm
Published in Workshop: Language Technologies for Digital Humanities and Cultural Heritage in conjunction with the Recent Advances in Natural Language Processing (RANLP). Hissar, Bulgaria.
Publication year 2011
Published at Department of Literature, History of Ideas, and Religion
Department of Swedish
Language en
Keywords prose fiction, named entities, clustering, personal relationships, person names
Subject categories Language Technology (Computational Linguistics), General Language Studies and Linguistics, Specific Languages


This paper describes the way in which personal relationships between main characters in 19th century Swedish prose fiction can be identified using information guided by named entities, provided by a entity recognition system adapted to the 19th century Swedish language characteristics. Interpersonal relation extraction is based on the context between two relevant, identified person entities. The extraction process of the relationships also utilize the content of on-line available lexical semantic resources (suitable vocabularies) and fairly standard context matching methods that provide a basic mechanism for identifying a wealth of interpersonal relations that hopefully can aid the reader of a 19th-century Swedish literary work to better understand its content and plot, and get a bird’s eye view on the landscape of the core story.

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