8 citations · 32 across the 9 of their papers we have counts for
4 papers · 1 filter
Learning to Fuse Sentences with Transformers for Summarization
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim +3
The ability to fuse sentences is highly attractive for summarization systems because it is an essential step to produce succinct abstracts. However, to date, summarizers can fail o…
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim +2
We present an empirical study in favor of a cascade architecture to neural text summarization. Summarization practices vary widely but few other than news summarization can provide…
Interaction Matching for Long-Tail Multi-Label Classification
Sean MacAvaney, Franck Dernoncourt, Walter Chang +2
We present an elegant and effective approach for addressing limitations in existing multi-label classification models by incorporating interaction matching, a concept shown to be u…
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Kang Min Yoo, Hanbit Lee, Franck Dernoncourt +3
Recent works have shown that generative data augmentation, where synthetic samples generated from deep generative models complement the training dataset, benefit NLP tasks. In this…