Web: http://arxiv.org/abs/2205.01826

May 5, 2022, 1:11 a.m. | James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen

cs.CL updates on arXiv.org arxiv.org

Semantic typing aims at classifying tokens or spans of interest in a textual
context into semantic categories such as relations, entity types, and event
types. The inferred labels of semantic categories meaningfully interpret how
machines understand components of text. In this paper, we present UniST, a
unified framework for semantic typing that captures label semantics by
projecting both inputs and labels into a joint semantic embedding space. To
formulate different lexical and relational semantic typing tasks as a unified
task, …

arxiv inference semantic

More from arxiv.org / cs.CL updates on arXiv.org

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote

Director of AI/ML Engineering

@ Armis Industries | Remote (US only), St. Louis, California

Digital Analytics Manager

@ Patagonia | Ventura, California