Semantic Relations and Deep Learning

TL;DR

This chapter discusses the application of deep learning techniques to the task of classifying and extracting semantic relations between nominals, highlighting recent advances in the field.

Contribution

It introduces a new chapter on deep learning approaches for semantic relation classification and extraction, expanding the previous edition's coverage.

Findings

Deep learning methods improve relation classification accuracy.

New techniques for relation extraction are discussed.

The chapter summarizes recent advances in deep learning for semantics.

Abstract

The second edition of "Semantic Relations Between Nominals" by Vivi Nastase, Stan Szpakowicz, Preslav Nakov and Diarmuid \'O S\'eaghdha has been published in April 2021 by Morgan & Claypool (www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1627). A new Chapter 5 of the book, by Vivi Nastase and Stan Szpakowicz, discusses relation classification/extraction in the deep-learning paradigm which arose after the first edition appeared. This is Chapter 5, made public by the kind permission of Morgan & Claypool.