Embeddings in Natural Language Processing

Discover the transformative power of embeddings in Natural Language Processing with Embeddings in Natural Language Processing by Mohammad Taher Pilehvar. Published in 2020 by Springer International Publishing AG, this insightful paperback spans 157 pages and delves into one of the most pivotal areas of NLP research.

The book begins with an in-depth exploration of conventional word vector space models and popular word embeddings like Word2Vec and GloVe. It then transitions to cover advanced topics, including word sense, sentence, document, and graph embeddings. Whether you're a researcher, student, or enthusiast in the field of NLP, this comprehensive guide will enhance your understanding of how embeddings shape language processing and machine learning applications.

Unlock the potential of NLP with this essential resource that bridges theory and practical application!