Book chapter
Software for creating and analyzing semantic representations
In
Statistical Semantics
—
2020, pp. 33-51
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.
| Language: | English |
|---|---|
| Publisher: | Springer |
| Year: | 2020 |
| Pages: | 33-51 |
| Journal subtitle: | Methods and Applications |
| ISBN: | 3030372499 , 3030372502 , 9783030372491 and 9783030372507 |
| Types: | Book chapter |
| DOI: | 10.1007/978-3-030-37250-7_3 |
| ORCIDs: | Nielsen, Finn Årup and Hansen, Lars Kai |
