Shivashankar Subramanian, Ioana Baldini, et al.
IAAI 2020
This tutorial reviews the design of common meaning representations, SoTA models for predicting meaning representations, and the applications of meaning representations in a wide range of downstream NLP tasks and real-world applications. Reporting by a diverse team of NLP researchers from academia and industry with extensive experience in designing, building, and using meaning representations, our tutorial has three components: (1) an introduction to common meaning representations, including basic concepts and design challenges; (2) a review of SoTA methods on building models for meaning representations; and (3) an overview of applications of meaning representations in downstream NLP tasks and real-world applications.
Shivashankar Subramanian, Ioana Baldini, et al.
IAAI 2020
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ICML 2024
Gabriele Picco, Lam Thanh Hoang, et al.
EMNLP 2021
Hui Wan, Song Feng, et al.
NAACL 2021