2018
EMNLP
EMNLP 2018
Characterizing Interactions and Relationships between People
Abstract
AbstractThis paper presents a set of dimensions to characterize the association between two people. We distinguish between interactions (when somebody refers to somebody in a conversation) and relationships (a sequence of interactions). We work with dialogue scripts from the TV show Friends, and do not impose any restrictions on the interactions and relationships. We introduce and analyze a new corpus, and present experimental results showing that the task can be automated.
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Interdisciplinary Bridge
— Artificial Intelligence and Data Science & Analytics and Interdisciplinary and Natural Language Processing
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Trend Setter
— Mobility Analysis
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Keyword Pioneer
— dialogue interaction
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio