Pretrained Transformers for Text Ranking: BERT and Beyond (Synthesis Lectures on Human Language Technologies)
by Rodrigo Nogueira, Jimmy Lin, Andrew Yates
Pretrained Transformers for Text Ranking presents a focused introduction to transformer-based methods for ranking text, with particular attention to BERT and related approaches. Part of the Synthesis Lectures on Human Language Technologies, it connects pretrained language models with information retrieval and modern natural language processing.
About This Book
Pretrained Transformers for Text Ranking explores the use of transformer-based language models for ranking text.
With BERT and related approaches as its focus, the book connects modern language representation methods with information retrieval tasks.
Written by Rodrigo Nogueira, Jimmy Lin, and Andrew Yates, it is part of the Synthesis Lectures on Human Language Technologies.
The book offers a focused resource for readers interested in pretrained models, text ranking, and human language technology.
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