A semantic-affective compositional approach for the affective labelling of adjective-noun and noun-noun pairs
| Autor: | Elias Iosif, Alexandros Potamianos, Polychronis Koutsakis, Elisavet Palogiannidi |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry 02 engineering and technology computer.software_genre Affect (psychology) 030507 speech-language pathology & audiology 03 medical and health sciences Noun 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Valence (psychology) 0305 other medical science business computer Adjective Natural language processing |
| Zdroj: | WASSA@NAACL-HLT |
| DOI: | 10.18653/v1/w16-0424 |
| Popis: | Motivated by recent advances in the area of Compo-sitional Distributional Semantic Models (CDSMs), we propose a compositional approach for estimating continuous affective ratings for adjective-noun (AN) and noun-noun (NN) pairs. The ratings are computed for the three basic dimensions of continuous affective spaces, namely, valence, arousal and dominance. We propose that similarly to the semantic modification that underlies CDSMs, affective modification may occur within the framework of affec-tive spaces, especially when the constituent words of the linguistic structures under investigation form modifier-head pairs (e.g., AN and NN). The affective content of the entire structure is determined from the interaction between the respective constituents, i.e., the affect conveyed by the head is altered by the modifier. In addition, we investigate the fusion of the proposed model with the semantic-affective model proposed in (Malandrakis et al., 2013) applied both at word-and phrase-level. The automatically computed affective ratings were evaluated against human ratings in terms of correlation. The most accurate estimates are achieved via fusion and absolute performance improvement up to 5% and 4% is reported for NN and AN, respectively. |
| Databáze: | OpenAIRE |
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