论文标题
关于神经信息检索的讲义
Lecture Notes on Neural Information Retrieval
论文作者
论文摘要
这些讲义的注释侧重于神经信息检索的最新进展，特别着重于利用变压器网络的系统和模型。这些网络最初是由Google在2017年提出的，在许多自然语言处理和信息检索任务中都取得了巨大成功。尽管有许多关于信息检索和自然语言处理以及针对更高级受众的专业书籍的精彩教科书，但这些讲义的目标是人们旨在基于深度学习的主要信息检索技术和方法的基本了解。这些笔记已为意大利比萨大学人工智能和数据工程的MSC计划的IR研究生课程做好了准备。
These lecture notes focus on the recent advancements in neural information retrieval, with particular emphasis on the systems and models exploiting transformer networks. These networks, originally proposed by Google in 2017, have seen a large success in many natural language processing and information retrieval tasks. While there are many fantastic textbook on information retrieval and natural language processing as well as specialised books for a more advanced audience, these lecture notes target people aiming at developing a basic understanding of the main information retrieval techniques and approaches based on deep learning. These notes have been prepared for a IR graduate course of the MSc program in Artificial Intelligence and Data Engineering at the University of Pisa, Italy.
