Peter J. Liu
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Advanced Text Analysis Techniques, Sentiment Analysis and Opinion Mining, Multimodal Machine Learning Applications
Most-Cited Works
- → Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer(2019)8,320 cited
- → Get To The Point: Summarization with Pointer-Generator Networks(2017)3,837 cited
- → PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization(2019)978 cited
- → Online and Linear-Time Attention by Enforcing Monotonic Alignments(2017)197 cited
- → Assessing The Factual Accuracy of Generated Text(2019)149 cited
- → Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs(2018)118 cited
- → MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization(2018)97 cited