research
∙
05/23/2023
USB: A Unified Summarization Benchmark Across Tasks and Domains
An abundance of datasets exist for training and evaluating models on the...
share
research
∙
12/20/2022
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
The evaluation of abstractive summarization models typically uses test d...
research
∙
09/30/2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Machine learning algorithms typically assume independent and identically...
research
∙
09/28/2022
Downstream Datasets Make Surprisingly Good Pretraining Corpora
For most natural language processing tasks, the dominant practice is to ...
research
∙
09/10/2021
Does Pretraining for Summarization Require Knowledge Transfer?
Pretraining techniques leveraging enormous datasets have driven recent a...
research
∙
07/14/2020
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
Despite diverse efforts to mine various modalities of medical data, the ...
research
∙
05/11/2020
Reinforced Rewards Framework for Text Style Transfer
Style transfer deals with the algorithms to transfer the stylistic prope...
research
∙
05/04/2020
Generating SOAP Notes from Doctor-Patient Conversations
Following each patient visit, physicians must draft detailed clinical su...
research
∙
01/20/2019
Improving generation quality of pointer networks via guided attention
Pointer generator networks have been used successfully for abstractive s...
research
∙
10/03/2017
