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Found 5 papers, 1 papers with code
What Makes Data-to-Text Generation Hard for Pretrained Language Models?
Previous work shows that pre-trained language models(PLMs) perform remarkably well on this task after fine-tuning on a significant amount of task-specific training data.
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach
We address these problems by paraphrasing to bring the style and language of the user's question closer to the language of privacy policies.
Fairness-aware Summarization for Justified Decision-Making
In other words, decision-relevant features should provide sufficient information for the predicted outcome and should be independent of the membership of individuals in protected groups such as race and gender.
Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths
Abstractive summarization at controllable lengths is a challenging task in natural language processing.
Network Representation Learning: Consolidation and Renewed Bearing
An important area of research that has emerged over the last decade is the use of graphs as a vehicle for non-linear dimensionality reduction in a manner akin to previous efforts based on manifold learning with uses for downstream database processing, machine learning and visualization.
