Kyle Shaffer
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View article: AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature
AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature Open
Creating an abridged version of a text involves shortening it while maintaining its linguistic qualities. In this paper, we examine this task from an NLP perspective for the first time. We present a new resource, AbLit, which is derived fr…
View article: AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature
AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature Open
Creating an abridged version of a text involves shortening it while maintaining its linguistic qualities. In this paper, we examine this task from an NLP perspective for the first time. We present a new resource, AbLit, which is derived fr…
View article: Predicting Speech Acts in MOOC Forum Posts
Predicting Speech Acts in MOOC Forum Posts Open
Students in a Massive Open Online Course (MOOC) interact with each other and the course staff through online discussion forums. While discussion forums play a central role in MOOCs, they also pose a challenge for instructors. The large num…
View article: Language Clustering for Multilingual Named Entity Recognition
Language Clustering for Multilingual Named Entity Recognition Open
Recent work in multilingual natural language processing has shown progress in various tasks such as natural language inference and joint multilingual translation. Despite success in learning across many languages, challenges arise where mu…
View article: The Skeptic's Language Game
The Skeptic's Language Game Open
This paper seeks to critique Pyrrhonean skepticism by way of language analysis. Linguistic aspects of Pyrrhonism are first examined utilizing the later writing of Wittgenstein. Pyrrhonean languageuse is then critiqued using H.P. Grice’s co…
View article: Predicting Speech Acts in MOOC Forum Posts Using Conditional Random Fields
Predicting Speech Acts in MOOC Forum Posts Using Conditional Random Fields Open
Massive Open Online Courses (MOOCs) have emerged as a way to reach large numbers of students by providing course materials as free online resources. The popularity of these courses has been reflected in high enrollment numbers, however it …
View article: Using Social Media to Predict the Future: A Systematic Literature Review
Using Social Media to Predict the Future: A Systematic Literature Review Open
Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings, and actions at a resolution previously unimaginable. Because user behavior on SM is a reflection of events in the real world, researchers have realize…
View article: Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter
Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter Open
Pew research polls report 62 percent of U.S. adults get news on social media (Gottfried and Shearer, 2016). In a December poll, 64 percent of U.S. adults said that “made-up news” has caused a “great deal of confusion” about the facts of cu…
View article: Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams
Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams Open
Language in social media is a dynamic system, constantly evolving and adapting, with words and concepts rapidly emerging, disappearing, and changing their meaning. These changes can be estimated using word representations in context, over …
View article: Beyond Fine Tuning: A Modular Approach to Learning on Small Data
Beyond Fine Tuning: A Modular Approach to Learning on Small Data Open
In this paper we present a technique to train neural network models on small amounts of data. Current methods for training neural networks on small amounts of rich data typically rely on strategies such as fine-tuning a pre-trained neural …