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Thoughts don't have Colour, do they? : Finding Semantic Categories of Nouns and Adjectives in Text Through Automatic Language Processing ; Generering av semantiska kategorier av substantiv och adjektiv genom automatisk textbearbetning

Title: Thoughts don't have Colour, do they? : Finding Semantic Categories of Nouns and Adjectives in Text Through Automatic Language Processing ; Generering av semantiska kategorier av substantiv och adjektiv genom automatisk textbearbetning
Authors: Fallgren, Per
Publisher Information: Linköpings universitet, Institutionen för datavetenskap
Publication Year: 2017
Collection: Linköping University Electronic Press (LiU E-Press)
Subject Terms: semantic representations; semantic categories; word vectors; adjective noun pair; Natural Language Processing; Språkbehandling och datorlingvistik
Description: Not all combinations of nouns and adjectives are possible and some are clearly more fre- quent than other. With this in mind this study aims to construct semantic representations of the two types of parts-of-speech, based on how they occur with each other. By inves- tigating these ideas via automatic natural language processing paradigms the study aims to find evidence for a semantic mutuality between nouns and adjectives, this notion sug- gests that the semantics of a noun can be captured by its corresponding adjectives, and vice versa. Furthermore, a set of proposed categories of adjectives and nouns, based on the ideas of Gärdenfors (2014), is presented that hypothetically are to fall in line with the produced representations. Four evaluation methods were used to analyze the result rang- ing from subjective discussion of nearest neighbours in vector space to accuracy generated from manual annotation. The result provided some evidence for the hypothesis which suggests that further research is of value.
Document Type: bachelor thesis
File Description: application/pdf
Language: English
Availability: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138641
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.1BE91F82
Database: BASE