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Cross-Task Knowledge Transfer for Query-Based Text Summarization
We demonstrate the viability of knowledge transfer between two related tasks: machine reading comprehension (MRC) and query-based text summarization.
Transformer and seq2seq model for Paraphrase Generation
For better quality of generated paraphrases, we propose a framework that combines the effectiveness of two models {--} transformer and sequence-to-sequence (seq2seq).
Transformer-based Model for Single Documents Neural Summarization
We propose a system that improves performance on single document summarization task using the CNN/DailyMail and Newsroom datasets.
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