Chapter 4. Advanced Word2vec
In Chapter 3, Word2vec – Learning Word Embeddings, we introduced you to Word2vec, the basics of learning word embeddings, and the two common Word2vec algorithms: skip-gram and CBOW. In this chapter, we will discuss several topics related to Word2vec, focusing on these two algorithms and extensions.
First, we will explore how the original skip-gram algorithm was implemented and how it compares to its more modern variant, which we used in Chapter 3, Word2vec – Learning Word Embeddings. We will examine the differences between skip-gram and CBOW and look at the behavior of the loss over time of the two approaches. We will also discuss which method works better, using both our observation and the available literature.
We will discuss several extensions to the existing Word2vec methods that boost performance. These extensions include using more effective sampling techniques to sample negative examples for negative sampling and ignoring uninformative...
