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Found 6 papers, 1 papers with code
A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus
Over the past decade, researchers have started to explore the use of NLP to develop tools aimed at helping the public, vendors, and regulators analyze disclosures made in privacy policies.
SupportNet: Neural Networks for Summary Generation and Key Segment Extraction from Technical Support Tickets
The first, a guidance extraction model, mines historical cases and provides technical guidance phrases to the support engineers.
Privacy Adhering Machine Un-learning in NLP
In several real world industry applications that use Machine Learning to build models on user data, such mandates require significant effort both in terms of data cleansing as well as model retraining while ensuring the models do not deteriorate in prediction quality due to removal of data.
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters
Research has shown that personality is a key driver to improve engagement and user experience in conversational systems.
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
This paper presents the submissions by Team Dr. Quad to the ACL-BioNLP 2019 shared task on Textual Inference and Question Entailment in the Medical Domain.
WriterForcing: Generating more interesting story endings
In this paper, we propose models which generate more diverse and interesting outputs by 1) training models to focus attention on important keyphrases of the story, and 2) promoting generation of non-generic words.
