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Abstract:
In this paper we present a linguistic resource for the lexical representation of affective knowledge.
This resource (named WORDNETAFFECT) was developed starting from WORDNET, through a selection and tagging of a subset of synsets representing the affective meanings.
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https://aclanthology.org/L04-1208/
http://www.lrec-conf.org/proceedings/lrec2004/pdf/369.pdf
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In this paper we present a linguistic resource for a lexical representation of affective knowledge.
This resource (named WORDNET-AFFECT) was developed starting from WORDNET, through the selection and labeling of the synsets representing affective concepts.
Affective computing is advancing as a field that allows a new form of human computer interaction, in addition to the use of natural language.
There is a wide perception that the future of human-computer interaction is in themes such as entertainment, emotions, aesthetic pleasure, motivation, attention, engagement, etc. Studying the relation between natural language and affective information and dealing with its computational treatment is becoming crucial.
For the development of WORDNET-AFFECT, we considered as a starting point WORDNET DOMAINS (Magnini and Cavaglia, 2000), a multilingual extension of WordNet, developed at ITC-irst.
In WORDNET DOMAINS each synset has been annotated with at least one domain label (e.g. SPORT, POLITICS, MEDICINE), selected from a set of about two hundred labels hierarchically organized.
A domain may include synsets of different syntactic categories: for instance the domain MEDICINE groups together senses from Nouns, such as doctor#1 (i.e. the first sense of the word doctor) and hospital#1, and from Verbs such as operate#7.
For WORDNET-AFFECT, our goal was to have an additional hierarchy of “affective domain labels”, independent from the domain hierarchy, with which the synsets representing affective concepts are annotated.
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