Free download pdf book Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning (Synthesis Lectures on Human Language Technologies) by Mohammad Taher Pilehvar, Jose Camacho-Collados
Overview of the pdf book Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning (Synthesis Lectures on Human Language Technologies)
Embeddings have undoubtedly been one of essentially the most influential analysis areas in Natural Language Processing (NLP). Encoding info right into a low-dimensional vector illustration, which is definitely integrable in trendy machine studying fashions, has performed a central position in the event of NLP. Embedding methods initially centered on phrases, however the consideration quickly began to shift to different types: from graph constructions, resembling data bases, to different sorts of textual content material, resembling sentences and paperwork.
This book gives a high-level synthesis of the primary embedding methods in NLP, in the broad sense. The book begins by explaining typical phrase vector house fashions and phrase embeddings (e.g., Word2Vec and GloVe) and then strikes to different sorts of embeddings, resembling phrase sense, sentence and doc, and graph embeddings. The book additionally gives an outline of latest developments in contextualized representations (e.g., ELMo and BERT) and explains their potential in NLP.
Throughout the book, the reader can discover each important info for understanding a sure subject from scratch and a broad overview of essentially the most profitable methods developed in the literature.