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Found 18 papers, 2 papers with code
Design Considerations for an NLP-Driven Empathy and Emotion Interface for Clinician Training via Telemedicine
As digital social platforms and mobile technologies become more prevalent and robust, the use of Artificial Intelligence (AI) in facilitating human communication will grow.
Syn2Vec: Synset Colexification Graphs for Lexical Semantic Similarity
In this paper we focus on patterns of colexification (co-expressions of form-meaning mapping in the lexicon) as an aspect of lexical-semantic organization, and use them to build large scale synset graphs across BabelNet’s typologically diverse set of 499 world languages.
Advancing Relation Extraction through Language Probing with Exemplars from Set Co-Expansion
In this paper, we present a multi-faceted approach that integrates representative examples and through co-set expansion.
Investigating Stylistic Profiles for the Task of Empathy Classification in Medical Narrative Essays
One important aspect of language is how speakers generate utterances and texts to convey their intended meanings.
Adaptive Multimodal and Multisensory Empathic Technologies for Enhanced Human Communication
As digital social platforms and mobile technologies are becoming more prevalent and robust, the use of Artificial Intelligence (AI) in facilitating human communication will grow.
Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language Data
In this study, we explore how language captures the meaning of words, in particular meaning related to sensory experiences learned from statistical distributions across texts.
Inter-Sense: An Investigation of Sensory Blending in Fiction
This study reports on the semantic organization of English sensory descriptors of the five basic senses of sight, hearing, touch, taste, and smell in a large corpus of over 8, 000 fiction books.
UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models
Our submission to the SemEval-2018 Task1: Affect in Tweets shared task competition is a supervised learning model relying on standard lexicon features coupled with word embedding features.
YADAC: Yet another Dialectal Arabic Corpus
This paper presents the first phase of building YADAC ― a multi-genre Dialectal Arabic (DA) corpus ― that is compiled using Web data from microblogs (i. e. Twitter), blogs/forums and online knowledge market services in which both questions and answers are user-generated.
