From b47bb9ab578b7b83cc68ad670f1263f63e13b959 Mon Sep 17 00:00:00 2001
From: robertturner <143536791+robertdhayanturner@users.noreply.github.com>
Date: Wed, 27 Dec 2023 09:35:55 -0500
Subject: [PATCH] Update knowledge_graph_embedding.md

one last change
---
 docs/use_cases/knowledge_graph_embedding.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/use_cases/knowledge_graph_embedding.md b/docs/use_cases/knowledge_graph_embedding.md
index a8d9b50dc..bed3439b7 100644
--- a/docs/use_cases/knowledge_graph_embedding.md
+++ b/docs/use_cases/knowledge_graph_embedding.md
@@ -20,7 +20,7 @@ The problem with KGs is that they are usually incomplete. Edges that should be p
 
 > … in Freebase, 93.8% of people have no place of birth, and [78.5% have no nationality](https://aclanthology.org/P09-1113.pdf), [about 68% of people do not have any profession](https://dl.acm.org/doi/abs/10.1145/2566486.2568032), while, in Wikidata, [about 50% of artists have no date of birth](https://arxiv.org/abs/2207.00143), and only [0.4% of known buildings have information about height](https://dl.acm.org/doi/abs/10.1145/3485447.3511932).
 
-The imperfections of KGs can lead to negative outcomes. For example, in recommendations systems, KG incompleteness can result in **limited or biased recommendations**; on Q&A tasks, KG incompleteness can yield **substantively and contextually incomplete or inaccurate answers to queries**.
+The **imperfections of KGs** can lead to negative outcomes. For example, in recommendations systems, KG incompleteness can result in **limited or biased recommendations**; on Q&A tasks, KG incompleteness can yield **substantively and contextually incomplete or inaccurate answers to queries**.
 
 Fortunately, KGEs can help solve problems that plague KGs.