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Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting - Lecture 4

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Information Retrieval Courses Machine Learning Courses Neural Networks Courses Text Mining Courses

Course Description

Overview

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Explore negative sampling techniques for dense passage retrieval in multilingual settings through this 14-minute conference talk presented at SIGIR 2024. Delve into the research conducted by Thilina Rajapakse, Andrew Yates, and Maarten de Rijke as they discuss innovative approaches to improve information retrieval across multiple languages. Gain insights into the challenges and solutions associated with multilingual dense passage retrieval, and learn how negative sampling techniques can enhance the performance of retrieval systems in diverse linguistic contexts.

Syllabus

SIGIR 2024 M2.4 [rr] Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Set


Taught by

Association for Computing Machinery (ACM)

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