An Introduction to Neural Models in Information Retrieval
Channel: IIIA Hub
Date: 2022-05-18

An Introduction to Neural Models in Information Retrieval
Stéphane Clinchant, Naver Labs Europe, Meylan, France

Talk at the Search Engines course, A.Y. 2021/2022 (https://iiia.dei.unipd.it/education/search-engines/)
MD in Computer Engineering (https://degrees.dei.unipd.it/master-degrees/computer-engineering/) 
MD in Data Science (https://datascience.math.unipd.it/)
University of Padua, Italy

Abstract :
This lecture will cover the development of neural models in Information Retrieval,
from Lambda-MART ranking models, word embedding methods, the first neural ranking models DRMM  and KNRM  until the various and recent Transformers models developed for the Deep Learning track and MS-Marco challenges. We will also discuss efficiency and robustness challenges for these IR based Pretrained Language Models.


Bio:
Stéphane Clinchant is a team lead at Naver Labs Europe for the Search and Recommendation group. After a Phd in IR in 2011, he worked in various European and industrial projects dealing with natural language processing and information retrieval. His recent papers on Neural IR dealt with analysing the Colbert model and the design of a novel sparse retrieval model named SPLADE.