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SEAL: Scientific Keyphrase Extraction and Classification

2020-06-05 08:21:26
Ayush Garg, Sammed Shantinath Kagi, Mayank Singh
arXiv_CL
         
Abstract

Automatic scientific keyphrase extraction is a challenging problem facilitating several downstream scholarly tasks like search, recommendation, and ranking. In this paper, we introduce SEAL, a scholarly tool for automatic keyphrase extraction and classification. The keyphrase extraction module comprises two-stage neural architecture composed of Bidirectional Long Short-Term Memory cells augmented with Conditional Random Fields. The classification module comprises of a Random Forest classifier. We extensively experiment to showcase the robustness of the system. We evaluate multiple state-of-the-art baselines and show a significant improvement. The current system is hosted at this http URL.

Abstract (translated)

URL

https://arxiv.org/abs/2006.03292

PDF

https://arxiv.org/pdf/2006.03292.pdf

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