dekamer_theme_terminology

Dataset containing relevant terminology for each theme of the <code>dekamer</code> dataset
The dataset contains the following information:<ul>
<li>theme: a theme, corresponding to the <code>question_theme_main</code> field in the <code>dekamer</code> dataset</li>
<li>term: a word which describes the <code>theme</code></li>
<li>n: a measure of information indicating how relevant the term is (frequency of occurrence)</li>
</ul>

Wraps the 'StarSpace' library <https://github.com/facebookresearch/StarSpace>
allowing users to calculate word, sentence, article, document, webpage, link and entity 'embeddings'.
By using the 'embeddings', you can perform text based multi-label classification,
find similarities between texts and categories, do collaborative-filtering based recommendation
as well as content-based recommendation, find out relations between entities, calculate
graph 'embeddings' as well as perform semi-supervised learning and multi-task learning on plain text.
The techniques are explained in detail in the paper: 'StarSpace: Embed All The Things!' by Wu et al. (2017), available at <arXiv:1709.03856>.

Jan Wijffels

ruimtehol

Learn Text 'Embeddings' with 'Starspace'

dekamer_theme_terminology: Dataset containing relevant terminology for each theme of the `dekamer` dataset

Description

Arguments

Examples