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Found 7 papers, 4 papers with code
An Empirical Study on Neural Keyphrase Generation
Recent years have seen a flourishing of neural keyphrase generation (KPG) works, including the release of several large-scale datasets and a host of new models to tackle them.
Diversifying Dialogue Generation with Non-Conversational Text
Neural network-based sequence-to-sequence (seq2seq) models strongly suffer from the low-diversity problem when it comes to open-domain dialogue generation.
Extremely Small BERT Models from Mixed-Vocabulary Training
Pretrained language models like BERT have achieved good results on NLP tasks, but are impractical on resource-limited devices due to memory footprint.
Informative Image Captioning with External Sources of Information
An image caption should fluently present the essential information in a given image, including informative, fine-grained entity mentions and the manner in which these entities interact.
Integrating Transformer and Paraphrase Rules for Sentence Simplification
Sentence simplification aims to reduce the complexity of a sentence while retaining its original meaning.
Ranked #3 on
Text Simplification
on ASSET
Enhancing Automatic ICD-9-CM Code Assignment for Medical Texts with PubMed
Frequent diseases often have more training data, which helps its classification to perform better than that of an infrequent disease.
Deep Keyphrase Generation
Keyphrase provides highly-condensed information that can be effectively used for understanding, organizing and retrieving text content.
