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Systematic Evaluation of Neural Retrieval Models on Touché 2020 Argument Retrieval Subset of BEIR

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

Tags

Information Retrieval Courses Machine Learning Courses

Course Description

Overview

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Explore a systematic evaluation of neural retrieval models in this 15-minute conference talk presented at SIGIR 2024. Delve into the performance analysis of various neural retrieval models on the Touché 2020 Argument Retrieval subset of BEIR (Benchmark for IR). Gain insights from authors Nandan Thakur, Luiz Bonifacio, Maik Fröbe, Alexander Bondarenko, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, and Jimmy Lin as they discuss their findings and methodologies. Learn about the latest advancements in neural information retrieval and their applications to argument retrieval tasks.

Syllabus

SIGIR 2024 T2.3 [rr] Systematic Eval of Neural Ret Mod Touché 2020 Argument Retrieval Subset BEIR


Taught by

Association for Computing Machinery (ACM)

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