Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR
Nandan Thakur,
Luiz Bonifacio,
Maik Fröbe
et al.
Abstract:The zero-shot effectiveness of neural retrieval models is often evaluated on the BEIR benchmark-a combination of different IR evaluation datasets. Interestingly, previous studies found that particularly on the BEIR subset Touché 2020, an argument retrieval task, neural retrieval models are considerably less effective than BM25. Still, so far, no further investigation has been conducted on what makes argument retrieval so "special". To more deeply analyze the respective potential limits of neural retrieval mode… Show more
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