Oxymoron generation using an association word corpus and a large-scale N -gram corpus
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| 003 | CHVBK | ||
| 005 | 20210128100325.0 | ||
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| 008 | 210128e20150401xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1430-6 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1430-6 | ||
| 245 | 0 | 0 | |a Oxymoron generation using an association word corpus and a large-scale N -gram corpus |h [Elektronische Daten] |c [Hiroaki Yamane, Masafumi Hagiwara] |
| 520 | 3 | |a Oxymorons are combinations of contradictory or incongruous words and are typically used to draw readers' attention to a text. This paper proposes a method to generate oxymorons using an association word corpus and a large-scale $$N$$ N -gram corpus. First, adjectives are fed as input into the proposed system. Then, antonym pairs are extracted from the $$N$$ N -gram corpus. Using the antonym pairs and the association word corpus, candidates are generated. Candidates are finalized or eliminated according to their suitability and attractiveness. To determine suitability, pointwise mutual information (PMI) is employed to exclude grammatically unnatural expressions. To determine attractiveness, PMI, gap of frequency of the oxymoron candidates, and WordNet are used. The generated combinations of oxymorons indicate the potential effectiveness of the proposed method. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Oxymoron |2 nationallicence | |
| 690 | 7 | |a Association word |2 nationallicence | |
| 690 | 7 | |a $$N$$ N -gram |2 nationallicence | |
| 690 | 7 | |a Sentence generation |2 nationallicence | |
| 690 | 7 | |a Sensibility |2 nationallicence | |
| 700 | 1 | |a Yamane |D Hiroaki |u Department of Information and Computer Science, Keio University, 3-14-1 Hiyoshi, 223-8522, Kohoku, Yokohama, Japan |4 aut | |
| 700 | 1 | |a Hagiwara |D Masafumi |u Department of Information and Computer Science, Keio University, 3-14-1 Hiyoshi, 223-8522, Kohoku, Yokohama, Japan |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/4(2015-04-01), 919-927 |x 1432-7643 |q 19:4<919 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1430-6 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1430-6 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Yamane |D Hiroaki |u Department of Information and Computer Science, Keio University, 3-14-1 Hiyoshi, 223-8522, Kohoku, Yokohama, Japan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hagiwara |D Masafumi |u Department of Information and Computer Science, Keio University, 3-14-1 Hiyoshi, 223-8522, Kohoku, Yokohama, Japan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/4(2015-04-01), 919-927 |x 1432-7643 |q 19:4<919 |1 2015 |2 19 |o 500 | ||