Jordan Boyd‐Graber
University of Maryland, College Park(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Advanced Text Analysis Techniques, Computational and Text Analysis Methods, Multimodal Machine Learning Applications
Most-Cited Works
- Reading Tea Leaves: How Humans Interpret Topic Models(2009)
- → Deep Unordered Composition Rivals Syntactic Methods for Text Classification(2015)741 cited
- → Interactive topic modeling(2013)343 cited
- → A Neural Network for Factoid Question Answering over Paragraphs(2014)323 cited
- → Political Ideology Detection Using Recursive Neural Networks(2014)285 cited
- → Pathologies of Neural Models Make Interpretations Difficult(2018)237 cited
- → Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter(2015)230 cited
- → Applications of Topic Models(2017)228 cited
- A Topic Model for Word Sense Disambiguation(2007)
- → Syntactic Topic Models(2010)155 cited