Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity

Khalid Alnajjar; Mika Hämäläinen; Hanyang Chen; Hannu Toivonen

Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity

Khalid Alnajjar, Mika Hämäläinen, Hanyang Chen, Hannu Toivonen

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

Sammanfattning

Many linguistic creativity applications rely heavily on knowledge of nouns and their properties.
However, such knowledge sources are scarce and limited.
We present a graph-based approach for expanding and weighting properties of nouns with given initial, non-weighted properties.
In this paper, we focus on famous characters, either real or fictional, and categories of people, such as Actor, Hero, Child etc.
In our case study, we started with an average of 11 and 25 initial properties for characters and categories, for which the method found 63 and 132 additional properties, respectively.
An empirical evaluation shows that the expanded properties and weights are consistent with human judgement. The resulting knowledge base can be utilized in creation of figurative language. For instance, metaphors based on famous characters can be used in various applications including story generation, creative writing, advertising and comic generation.

Originalspråk	engelska
Titel på värdpublikation	Proceedings of the 8th International Conference on Computational Creativity (ICCC'17)
Redaktörer	Ashok Goel, Anna Jordanous, Alison Pease
Antal sidor	8
Utgivningsort	Atlanta, GA
Förlag	Georgia Institute of Technology
Utgivningsdatum	23 juni 2017
Sidor	25-32
ISBN (elektroniskt)	978-0-692-89564-1
Status	Publicerad - 23 juni 2017
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	International Conference on Computational Creativity - Atlanta, Förenta Staterna (USA) Varaktighet: 19 juni 2017 → 23 juni 2017 Konferensnummer: 8

Vetenskapsgrenar

113 Data- och informationsvetenskap

Åtkomst av dokument

http://computationalcreativity.net/iccc2017/ICCC_17_accepted_submissions/ICCC-17_paper_29.pdfLicens: !!Unspecified

Laskennallinen kielellinen luovuus (CLiC)
Toivonen, H. T. (Projektledare), Ilomäki, L. (Deltagare), Lakkala, M. (Deltagare), Kantosalo, A. (Deltagare), Alm, O. M. (Deltagare), Toivanen, J. (Deltagare), Gross, O. (Deltagare) & Alnajjar, K. (Deltagare)
SUOMEN AKATEMIA
01/09/2014 → 31/08/2018
Projekt: Forskningsprojekt
PROSECCO: Promoting the Scientific Exploration of Computational Creativity
Toivonen, H. T. (Principal Investigator), Alnajjar, K. (Deltagare) & Linkola, S. (Deltagare)
01/03/2013 → 01/01/2017
Projekt: Forskningsprojekt

University College Dublin
Alnajjar, K. (Besökande forskare)
8 maj 2016 → 22 maj 2016
Aktivitet: Typer för besök till extern institution › Akademisk besök på annan institution

Citera det här

Alnajjar, K., Hämäläinen, M., Chen, H., & Toivonen, H. (2017). Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity. I A. Goel, A. Jordanous, & A. Pease (Red.), Proceedings of the 8th International Conference on Computational Creativity (ICCC'17) (s. 25-32). Georgia Institute of Technology . http://computationalcreativity.net/iccc2017/ICCC_17_accepted_submissions/ICCC-17_paper_29.pdf

@inproceedings{dd5df0d0adb94879944bf03d9cd466ae,

title = "Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity",

abstract = "Many linguistic creativity applications rely heavily on knowledge of nouns and their properties. However, such knowledge sources are scarce and limited.We present a graph-based approach for expanding and weighting properties of nouns with given initial, non-weighted properties. In this paper, we focus on famous characters, either real or fictional, and categories of people, such as Actor, Hero, Child etc. In our case study, we started with an average of 11 and 25 initial properties for characters and categories, for which the method found 63 and 132 additional properties, respectively.An empirical evaluation shows that the expanded properties and weights are consistent with human judgement. The resulting knowledge base can be utilized in creation of figurative language. For instance, metaphors based on famous characters can be used in various applications including story generation, creative writing, advertising and comic generation. ",

keywords = "113 Computer and information sciences, Artificial Intelligence, Computational Creativity",

author = "Khalid Alnajjar and Mika H{\"a}m{\"a}l{\"a}inen and Hanyang Chen and Hannu Toivonen",

year = "2017",

month = jun,

day = "23",

language = "English",

pages = "25--32",

editor = "Ashok Goel and Anna Jordanous and Alison Pease",

booktitle = "Proceedings of the 8th International Conference on Computational Creativity (ICCC'17)",

publisher = "Georgia Institute of Technology ",

address = "Georgia",

note = "International Conference on Computational Creativity ; Conference date: 19-06-2017 Through 23-06-2017",

}

Alnajjar, K, Hämäläinen, M, Chen, H & Toivonen, H 2017, Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity. i A Goel, A Jordanous & A Pease (red), Proceedings of the 8th International Conference on Computational Creativity (ICCC'17). Georgia Institute of Technology , Atlanta, GA, s. 25-32, International Conference on Computational Creativity, Atlanta, Georgia, Förenta Staterna (USA), 19/06/2017. <http://computationalcreativity.net/iccc2017/ICCC_17_accepted_submissions/ICCC-17_paper_29.pdf>

Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity. / Alnajjar, Khalid; Hämäläinen, Mika; Chen, Hanyang et al.
Proceedings of the 8th International Conference on Computational Creativity (ICCC'17). red. / Ashok Goel; Anna Jordanous; Alison Pease. Atlanta, GA: Georgia Institute of Technology , 2017. s. 25-32.

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

TY - GEN

T1 - Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity

AU - Alnajjar, Khalid

AU - Hämäläinen, Mika

AU - Chen, Hanyang

AU - Toivonen, Hannu

N1 - Conference code: 8

PY - 2017/6/23

Y1 - 2017/6/23

N2 - Many linguistic creativity applications rely heavily on knowledge of nouns and their properties. However, such knowledge sources are scarce and limited.We present a graph-based approach for expanding and weighting properties of nouns with given initial, non-weighted properties. In this paper, we focus on famous characters, either real or fictional, and categories of people, such as Actor, Hero, Child etc. In our case study, we started with an average of 11 and 25 initial properties for characters and categories, for which the method found 63 and 132 additional properties, respectively.An empirical evaluation shows that the expanded properties and weights are consistent with human judgement. The resulting knowledge base can be utilized in creation of figurative language. For instance, metaphors based on famous characters can be used in various applications including story generation, creative writing, advertising and comic generation.

AB - Many linguistic creativity applications rely heavily on knowledge of nouns and their properties. However, such knowledge sources are scarce and limited.We present a graph-based approach for expanding and weighting properties of nouns with given initial, non-weighted properties. In this paper, we focus on famous characters, either real or fictional, and categories of people, such as Actor, Hero, Child etc. In our case study, we started with an average of 11 and 25 initial properties for characters and categories, for which the method found 63 and 132 additional properties, respectively.An empirical evaluation shows that the expanded properties and weights are consistent with human judgement. The resulting knowledge base can be utilized in creation of figurative language. For instance, metaphors based on famous characters can be used in various applications including story generation, creative writing, advertising and comic generation.

KW - 113 Computer and information sciences

KW - Artificial Intelligence

KW - Computational Creativity

M3 - Conference contribution

SP - 25

EP - 32

BT - Proceedings of the 8th International Conference on Computational Creativity (ICCC'17)

A2 - Goel, Ashok

A2 - Jordanous, Anna

A2 - Pease, Alison

PB - Georgia Institute of Technology

CY - Atlanta, GA

T2 - International Conference on Computational Creativity

Y2 - 19 June 2017 through 23 June 2017

ER -

Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity

Sammanfattning

Vetenskapsgrenar

Åtkomst av dokument

Projekt

Laskennallinen kielellinen luovuus (CLiC)

PROSECCO: Promoting the Scientific Exploration of Computational Creativity

Aktiviteter

University College Dublin

Citera det här