Discourse-level Natural Language Understanding for Scientific Literature
Offered By: Computational Genomics Summer Institute CGSI via YouTube
Course Description
Overview
Explore discourse-level natural language understanding for scientific literature in this 45-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2022. Delve into cutting-edge research on scientific discourse tagging, evidence extraction, and biomedical experiment method classification. Learn about paragraph-level multi-task learning models for scientific fact-verification and cross-sentence n-ary relation extraction using graph LSTMs. Gain insights from related papers, including work on the MELINDA multimodal dataset and advanced techniques for analyzing scientific texts. Discover how these approaches can enhance comprehension and analysis of complex scientific literature across various domains.
Syllabus
Nanyun Violet Peng | Discourse-level Natural Language Understanding for Scientific Li... | CGSI 2022
Taught by
Computational Genomics Summer Institute CGSI
Related Courses
Text Mining and AnalyticsUniversity of Illinois at Urbana-Champaign via Coursera Text Mining & Analytics
Delft University of Technology via edX Text Analytics with SAP HANA Platform
SAP Learning Applied Text Mining in Python
University of Michigan via Coursera Hands-on Text Mining and Analytics
Yonsei University via Coursera