An event is something that happens at a time and location. Events include major life events such as graduating college or getting married, and also simple day-to-day activities such as commuting to work or eating lunch. Most work on event extraction detects events and the entities involved in events. For example, cooking events will usually involve a cook, some utensils and appliances, and a final product. In this work, we target the task of determining whether events result in their expected outcomes. Specifically, we target cooking and baking events, and characterize event outcomes into two categories. First, we distinguish whether something edible resulted from the event. Second, if something edible resulted, we distinguish between perfect, partial and alternative outcomes. The main contributions of this thesis are a corpus of 4,000 tweets annotated with event outcome information and experimental results showing that the task can be automated. The corpus includes tweets that have only text as well as tweets that have text and an image.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1703427 |
| Date | 05 1900 |
| Creators | Murugan, Srikala |
| Contributors | Blanco, Eduardo, Palmer, Alexis, Nielsen, Rodney |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | vi, 30 pages, Text |
| Rights | Public, Murugan, Srikala, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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