Open Access. Powered by Scholars. Published by Universities.®
- Keyword
Articles 1 - 2 of 2
Full-Text Articles in Computational Linguistics
When Misclassification Is Misgendering: Gender Prediction In The Context Of Trans Identities, Sean Miller
When Misclassification Is Misgendering: Gender Prediction In The Context Of Trans Identities, Sean Miller
Dissertations, Theses, and Capstone Projects
As a subdomain of author profiling, gender prediction (sometimes called gender inference) has received a substantial amount of attention—both as a task in itself, and for other downstream analyses. Throughout the existing literature various statistical and machine learning methods have been applied to extract features in order to either characterize and differentiate female and male writing styles, or simply to achieve maximum accuracy on gender prediction as a binary classification task. However, researchers often do not disclose how they conceptualize gender nor do they consider the implications that gender prediction has for non-binary and trans individuals. Along with an overview …
Event Parsing In Narrative: Trials And Tribulations Of Archaic English Fairy Tales, Rebecca Lovering
Event Parsing In Narrative: Trials And Tribulations Of Archaic English Fairy Tales, Rebecca Lovering
Dissertations, Theses, and Capstone Projects
While event extraction and automatic summarization have taken great strides in the realm of news stories, fictional narratives like fairy tales have not been so fortunate. A number of challenges arise from the literary elements present in fairy tales that are not found in more straightforward corpora of natural language, such as archaic expressions and sentence structures. To aid in summarization of fictional texts, I created an class - a template for a digital object, in this case a semantic and story event - that captures elements predicted to help classify events as important for inclusion. I wrote a processor …