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Found 4 papers, 0 papers with code
Globalizing BERT-based Transformer Architectures for Long Document Summarization
Fine-tuning a large language model on downstream tasks has become a commonly adopted process in the Natural Language Processing (NLP) (CITATION).
Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading
The purpose of the reading module is to produce a question-aware representation of the document.
ReviewQA: a relational aspect-based opinion reading dataset
To motivate this purpose, we present ReviewQA, a question-answering dataset based on hotel reviews.
Adversarial reading networks for machine comprehension
In this paper we explore the paradigm of adversarial learning and self-play for the task of machine reading comprehension.
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