Pretrained Transformers for Text Ranking: Bert and Beyond

by Andrew Yates, Jimmy Lin, Rodrigo Nogueira

Book Overview

The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query. Although the most common formulation of text ranking is search, instances of the task can also be found in many natural language processing (NLP) applications.This book provides an overview of text ranking with neural network architectures known as transformers, of which BERT (Bidirectional Encoder Representations from Transformers) is...

• Format: Paperback
• Language: English
• ISBN: 3031010531
• ISBN13: 9783031010538
• Release Date: October 2021
• Publisher: Springer
• Length: 307 Pages
• Weight: 1.25 lbs.
• Dimensions: 0.7" x 7.5" x 9.3"