原文标题：Information retrieval：Open Domain Question Answering Using Web Tables Tables extracted from web with features that quantify the dominance of the table in the document as well as the quality of the information Chakrabarti,Zhimin Chen,Siamak Shakeri,Guihong Cao 原文链接：https://arxiv.org/abs/2001.03272 使用Web表回答开放域问题（Information retrieval）.pdf
信息检索 Information Retrieval 荟萃 入门学习 进阶文章 Tutorial 综述 视频教程 代码 领域专家 入门学习 信息检索导论学习笔记（1-10） [http://www.cnblogs.com Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University doid=243199.243206] 1998 [Ponte&Crof 1998] A language modeling approach to information retrieval. id=383972] 2004 [Kurland&Lee 2004] Corpus structure, language models, and ad hoc information retrieval 国际信息检索大会2011年的程序委员会主席，美国计算机学会院士，国际电子电气工程师学会院士，信息检索领域经典著作《现代信息检索》(Modern Information Retrieval)的作者。
“Information retrieval as statistical translation”. “Dependence language model for information retrieval”. “A comparative study of utilizing topic mod- els for information retrieval”. In: Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval. Foundations and Trends in Information Retrieval. 7(5): 343–469. 【12】Sarwar, B., G. Karypis, J.
Dynamic Model for Query-Document Expansion towards Improving Retrieval Relevance Getting relevant information from search engines has been the heart of research works in information retrieval. Query expansion is a retrieval technique that has been studied and proved to yield positive results in With this short format, a huge amount of information is lost in the process of translating the information This loss of information has made the study of query expansion technique a strong area of study.
原文题目：Pre-training Methods in Information Retrieval 原文：The core of information retrieval (IR) is to identify relevant information from large-scale resources and return it as a ranked list to respond to user's information need. retrieval), especially the paradigm of pre-training methods (PTMs). survey, we present an overview of PTMs applied in different components of IR system, including the retrieval
原文题目：Asymmetric Leaky Private Information Retrieval 原文：Information-theoretic formulations of the private information retrieval (PIR) problem have been investigated under a variety of scenarios. Symmetric private information retrieval (SPIR) is a variant where a user is able to privately retrieve In this paper, we investigate if the information-theoretic capacity of SPIR (equivalently, the inverse Second, we obtain an information-theoretic lower bound on the download cost as .
原文题目：Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics 原文：Medical entity retrieval is an integral component for understanding and communicating information Zero-shot retrieval is challenging due to the high degree of ambiguity and variability in medical corpora To take advantage of this valuable information, we propose a suite of learning tasks designed for training efficient zero-shot entity retrieval models.
近年来，自动问答系统蓬勃发展，常用的技术大致可分为基于信息检索（Information Retrieval (IR)-based）和基于生成（generation-based）两大类。 原文题目：TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in systems have boomed during last few years, and commonly used techniques can be roughly categorized into Information Retrieval (IR)-based and generation-based.
Implement a retrieval model. Fit and evaluate it. The ratings dataset returns a dictionary of movie id, user id, the assigned rating, timestamp, movie information , and user information: for x in ratings.take(1).as_numpy_iterator(): pprint.pprint(x) The movies dataset Other tutorials explore how to use the movie information data as well to improve the model quality. appropriately specified models to learn this behaviour automatically from past user history and contextual information
“Discriminative models for information retrieval”. “Learning to rank for information retrieval and natural language processing”. “Learning to rank for information retrieval”. Foun- dations and Trends in Information Retrieval. 3(3): 225–331. 【9】Burges, C. J. (2010). In: The 43rd International ACM SIGIR Conference on Research & Development in Information Retrieval.
Contextualized Query Embeddings for Conversational Search 原文：Conversational search (CS) plays a vital role in information retrieval. approaches the task using a multi-stage pipeline comprising conversational query reformulation and information Experiments demonstrate that our model yields competitive retrieval effectiveness against state-of-the-art Furthermore, we show that improved retrieval effectiveness benefits the downstream task of conversational