2.1k citations · 4.1k across the 35 of their papers we have counts for
3 papers · 1 filter
End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann, Falcon Z. Dai, Henry Elder +1
Learning to generate fluent natural language from structured data with neural networks has become an common approach for NLG. This problem can be challenging when the form of the s…
Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
Neural network-based methods for abstractive summarization produce outputs that are more fluent than other techniques, but which can be poor at content selection. This work propose…
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch +3
Neural Sequence-to-Sequence models have proven to be accurate and robust for many sequence prediction tasks, and have become the standard approach for automatic translation of text…