12 citations · 13 across the 6 of their papers we have counts for
7 papers
Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues
Jiaming Qu, Mengtian Guo, Yue Wang
Deceptive reviews mislead consumers, harm businesses, and undermine trust in online marketplaces. Machine learning classifiers can learn from large amounts of data to distinguish d…
Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables
Mengtian Guo, David Gotz, Yue Wang
Predictive modeling has the potential to enhance human decision-making. However, many predictive models fail in practice due to problematic problem formulation in cases where the p…
Human-Computer Collaboration for Visual Analytics: an Agent-based Framework
Shayan Monadjemi, Mengtian Guo, David Gotz +2
The visual analytics community has long aimed to understand users better and assist them in their analytic endeavors. As a result, numerous conceptual models of visual analytics ai…
How Does Imperfect Automatic Indexing Affect Semantic Search Performance?
Mengtian Guo, David Gotz, Yue Wang
Documents in the health domain are often annotated with semantic concepts (i.e., terms) from controlled vocabularies. As the volume of these documents gets large, the annotation wo…
GRAFS: Graphical Faceted Search System to Support Conceptual Understanding in Exploratory Search
Mengtian Guo, Zhilan Zhou, David Gotz +1
When people search for information about a new topic within large document collections, they implicitly construct a mental model of the unfamiliar information space to represent wh…
A Design Space for Surfacing Content Recommendations in Visual Analytic Platforms
Zhilan Zhou, Wenyuan Wang, Mengtian Guo +2
Recommendation algorithms have been leveraged in various ways within visualization systems to assist users as they perform of a range of information tasks. One common focus for the…
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
Cristina Garbacea, Mengtian Guo, Samuel Carton +1
Text simplification reduces the language complexity of professional content for accessibility purposes. End-to-end neural network models have been widely adopted to directly genera…