From c71a69e2dfad487e492b9b2b3c21b9b9c2e7cdb5 Mon Sep 17 00:00:00 2001 From: Jimmy Lin Date: Wed, 8 Sep 2021 22:12:37 -0400 Subject: [PATCH] Update experiments-unicoil-tilde-expansion.md (#755) --- docs/experiments-unicoil-tilde-expansion.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/experiments-unicoil-tilde-expansion.md b/docs/experiments-unicoil-tilde-expansion.md index 2d1c078b5..b2d7481c5 100644 --- a/docs/experiments-unicoil-tilde-expansion.md +++ b/docs/experiments-unicoil-tilde-expansion.md @@ -9,7 +9,9 @@ The original uniCOIL model is described here: > Jimmy Lin and Xueguang Ma. [A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques.](https://arxiv.org/abs/2106.14807) _arXiv:2106.14807_. -Instead of using docTquery-T5 to perform document expansion which is slow and expensive, in this guide, the TILDE model is used to expand the corpus, resulting in a faster and cheaper document expansion process. For details of how to use TILDE to expand documents, please see [this guide](https://github.com/ielab/TILDE). +In the original uniCOIL paper, doc2query-T5 is used to perform document expansion, which is slow and expensive. +As an alternative, Zhuang and Zuccon proposed to use the TILDE model to expand the corpus, resulting in a faster and cheaper document expansion process. +For details of how to use TILDE to expand documents, please see [this guide](https://github.com/ielab/TILDE). In this guide, we start with a version of the MS MARCO passage corpus that has already been processed with uniCOIL, i.e., gone through document expansion and term reweighting. Thus, no neural inference is involved.