Calendar

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Boston UXPA Usability and UX Conf. 2013

May 25

“ Civilization advances by extending the number of important operations which we can perform without thinking of them. ”

-- Alfred North Whitehead

Share this quote on...
Get more quotes via RSS or by joining our Usability Quote of the Day Facebook Page

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

Help us help you!

Spread the word:
Donate
Other ways to help

Thomas Clay Templeton

Add description

← Button will not work: You have not enabled Javascript. How do I enable it?

Rename / change spelling

Add publication

← Button will not work: You have not enabled Javascript. How do I enable it?

Publications by Thomas Clay Templeton (bibliography)

2011

Edit | Del

Fleischmann, Kenneth R., Templeton, Thomas Clay and Boyd-Graber, Jordan (2011): Modeling diverse standpoints in text classification: learning to be human by modeling human values. In: Proceedings of the 2011 iConference 2011. pp. 672-673.

“An annotator's classification of a text not only tells us something about the intent of the text's author, it also tells us something about the annotator's standpoint. To understand authorial intent, we can consider all of these diverse standpoints, as well as the extent to which the annotators' standpoints affect their perceptions of authorial intent. To model human behavior, it is important to model humans' unique standpoints. Human values play an especially important role in determining human behavior and how people perceive the world around them, so any effort to model human behavior and perception can benefit from an effort to understand and model human values. Instead of training humans to obscure their standpoints and act like computers, we should teach computers to have standpoints of their own.”

Edit | Del

Templeton, Thomas Clay, Fleischmann, Kenneth R. and Boyd-Graber, Jordan (2011): Comparing values and sentiment using Mechanical Turk. In: Proceedings of the 2011 iConference 2011. pp. 783-784.

“Human values can help to explain people's sentiment toward current events. In this experiment, we compare people's values with their agreement or disagreement with paragraphs that were classified as either supporting or opposing a specific topic. We found that five value types have statistically significant agreement (p<0.001) for both the supporting and opposing paragraphs, in opposite directions. We hope to use these paragraph ratings to train an automatic text classifier to agree or disagree with paragraphs based on a specific value profile.”

Add publication