People interact with each other through natural language to express feelings, thoughts, intentions, instructions etc. These interactions as a result form relationships. Besides names of relationships like siblings, spouse, friends etc., a number of dimensions (e.g. cooperative vs. competitive, temporary vs. enduring, equal vs. hierarchical etc.) can also be used to capture the underlying properties of interpersonal interactions and relationships. More fine-grained descriptors (e.g. angry, rude, nice, supportive etc.) can also be used to indicate the reasons or social-acts behind the dimension cooperative vs. competitive. The way people interact with others may also tell us about their personal traits, which in turn may be indicative of their probable success in their future. The works presented in the dissertation involve creating corpora with fine-grained descriptors of interactions and relationships. We also described experiments and their results that indicated that the processes of identifying the dimensions can be automated.
Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1707342 |
Date | 08 1900 |
Creators | Rashid, Farzana |
Contributors | Blanco, Eduardo, Nielsen, Rodney D, Yuan, Xiaohui, Hovy, Dirk |
Publisher | University of North Texas |
Source Sets | University of North Texas |
Language | English |
Detected Language | English |
Type | Thesis or Dissertation |
Format | ix, 87 pages, Text |
Rights | Public, Rashid, Farzana, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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