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Found 6 papers, 0 papers with code
Quantifying Appropriateness of Summarization Data for Curriculum Learning
We conduct experiments on three summarization models; one pretrained model and two non-pretrained models, and verify our method improves the performance.
Identifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations
The training task of the model is to predict whether a reply candidate is a true reply to a post.
Extractive Summarization
Unsupervised Extractive Summarization
Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation
We propose a novel reinforcement learning method with a reconstructor to improve the clinical correctness of generated reports to train the data-to-text module with a highly imbalanced dataset.
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning
The results show that our model generates more consistent headlines, key phrases and categories.
Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations
We leverage a popularity measure in social media as a distant label for extractive summarization of online conversations.
Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts
We proposed a model that integrates discussion structures with neural networks to classify discourse acts.
