Software for creating and analyzing semantic representations

Finn Årup Nielsen*, Lars Kai Hansen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

In this chapter, we describe some of the software packages for learning distributed semantic representation in the form of word and graph embeddings. We also describe several Python natural language processing frameworks that can prepare a corpus for the embedding software. We furthermore point to the Wikidata software as a tool for collaborative construction of explicit semantic representation and to tools to embed such data.

Original languageEnglish
Title of host publicationStatistical Semantics : Methods and Applications
PublisherSpringer
Publication date1 Jan 2020
Pages33-51
ISBN (Print)9783030372491
ISBN (Electronic)9783030372507
DOIs
Publication statusPublished - 1 Jan 2020

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