A System for Automated Image Editing from Natural Language Commands

Brixey, Jacqueline; Manuvinakurike, Ramesh; Le, Nham; Lai, Tuan Manh; Chang, Walter; Bui, Trung

doi:10.48550/arxiv.1812.01083

Cited by 1 publication

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“…Our best models even achieve new state-of-the-art results on two public benchmarks (Inspec and SemEval-2017). In future work, we plan to explore how to extend our method to other tasks (Brixey et al, 2018) and other languages. We will also investigate how our method can be used in few-shot settings.…”

Section: Discussionmentioning

confidence: 99%

A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents

Lai¹,

Bui²,

Kim³

et al. 2020

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Keyphrase extraction is the task of extracting a small set of phrases that best describe a document. Most existing benchmark datasets for the task typically have limited numbers of annotated documents, making it challenging to train increasingly complex neural networks. In contrast, digital libraries store millions of scientific articles online, covering a wide range of topics. While a significant portion of these articles contain keyphrases provided by their authors, most other articles lack such kind of annotations. Therefore, to effectively utilize these large amounts of unlabeled articles, we propose a simple and efficient joint learning approach based on the idea of self-distillation. Experimental results show that our approach consistently improves the performance of baseline models for keyphrase extraction. Furthermore, our best models outperform previous methods for the task, achieving new state-of-the-art results on two public benchmarks: Inspec and SemEval-2017.

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Section: Discussionmentioning

confidence: 99%