71 citations · 286 across the 20 of their papers we have counts for
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cs.CL2019
The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction
Phu Mon Htut, Joel Tetreault
In recent years, sequence-to-sequence models have been very effective for end-to-end grammatical error correction (GEC). As creating human-annotated parallel corpus for GEC is expe…
cs.CL2019★ 3 cited
This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
Rui Zhang, Joel Tetreault
Given the overwhelming number of emails, an effective subject line becomes essential to better inform the recipient of the email's content. In this paper, we propose and study the…
cs.CL2019★ 62 cited
Dialogue Act Classification with Context-Aware Self-Attention
Vipul Raheja, Joel Tetreault
Recent work in Dialogue Act classification has treated the task as a sequence labeling problem using hierarchical deep neural networks. We build on this prior work by leveraging th…