From a75bb981f52bdd2e337ddfd25a063528b6262d98 Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Mon, 18 Nov 2024 12:10:36 +0100 Subject: [PATCH] fix typo --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4339efe..638ef08 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ BINDER employs two encoders to separately map text and entity types into the same vector space, and reuses the vector representations of entity types for different text spans (or vice versa), resulting in a faster training and inference speed. Based on the bi-encoder representations, BINDER introduces a unified contrastive learning framework for NER, which encourages the representation of entity types to be similar with the corresponding entity mentions, and to be dissimilar with non-entity text spans. -BINDER also introudces a novel dynamic thresholding loss in contrastive learning. At test time, it leverages candidate-specific dynamic thresholds to distinguish entity spans from non-entity ones. +BINDER also introduces a novel dynamic thresholding loss in contrastive learning. At test time, it leverages candidate-specific dynamic thresholds to distinguish entity spans from non-entity ones. Check out [our paper](https://openreview.net/forum?id=9EAQVEINuum) for the details. If you find our code is useful, please cite: