43 citations · 79 across the 8 of their papers we have counts for
8 papers
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification
Jiaming Qu, Jaime Arguello, Yue Wang
Explainable AI (XAI) algorithms aim to help users understand how a machine learning model makes predictions. To this end, many approaches explain which input features are most pred…
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…
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification
Tingyu Xia, Yue Wang, Yuan Tian +1
Weakly-supervised text classification aims to train a classifier using only class descriptions and unlabeled data. Recent research shows that keyword-driven methods can achieve sta…
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…
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks
Tingyu Xia, Yue Wang, Yuan Tian +1
We study the problem of incorporating prior knowledge into a deep Transformer-based model,i.e.,Bidirectional Encoder Representations from Transformers (BERT), to enhance its perfor…