Discourse-level Natural Language Understanding for Scientific Literature
Computational Genomics Summer Institute CGSI via YouTube
Learn Generative AI, Prompt Engineering, and LLMs for Free
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
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