Hybrid and Generative Models for Material Science Event Extraction
Keywords: event extraction, hybrid deep learning model, SC-CoMIcs, LLM
TL;DR: This paper presents a hybrid deep learning model for event extraction in materials science, leveraging syntactic reinforcement without external annotations to achieve state-of-the-art performance.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 222
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