Garg, AyushAyushGargKagi, Sammed ShantinathSammed ShantinathKagiSingh, MayankMayankSingh2025-08-312025-08-312020-08-01[9781450375856]10.1145/3383583.33986252-s2.0-85095112441https://d8.irins.org/handle/IITG2025/24059Automatic 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 http://lingo.iitgn.ac.in:5000/.falseBilstm | Classification | Crf | Extraction | Mlp | Scholarly keyphrasesConference Paperhttps://arxiv.org/pdf/2006.03292527-5281 August 202023398625cpConference Proceeding0