Processing Semantic Relations Across Textual Genres. Bryan Rink University of Texas at Dallas December 13, 2013. Outline. Introduction Supervised relation identification Unsupervised relation discovery Proposed work Conclusions. Motivation. We think about our world in terms of:
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
University of Texas at Dallas
December 13, 2013
Lexical is the single best feature set, Lexical+Hypernym is the best 2-feature set combination, etc.
Causal relations between events – FLAIRS 2010
Last example is actually a Treatment-Administered-For-Problem
Results with 9 relation types, 15 general word classes, and 15 argument classes for RDM.