From 6fe69e9250b09a74bcd9f90def296fa4b53167c3 Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Sun, 28 Apr 2024 23:31:41 +0900 Subject: [PATCH] Update README.rst langauge -> language --- README.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.rst b/README.rst index 4cd1299..c076f7e 100644 --- a/README.rst +++ b/README.rst @@ -74,7 +74,7 @@ prototype-based explanations and concept-based explanations among others. over many individual instances. The basic idea is to identify certain generalizable *concepts* which are then connected to a certain impact toward the model's prediction outcome. One such concept is generally defined as a common underlying pattern that is shared among multiple instances of the dataset. From a technical perspective, a concept can be defined as a set of input fragments. What exactly these input fragments are differs -between application domains. In image processing, for example, these fragments are super pixels or image segments and in langauge processing they +between application domains. In image processing, for example, these fragments are super pixels or image segments and in language processing they can be words or phrases. In the graph processing domain, these input fragments are subgraph motifs which can be contained in multiple different graphs of the dataset. @@ -300,4 +300,4 @@ Credits with these experiments. .. _PyComex: https://github.com/the16thpythonist/pycomex.git -.. _MEGAN: https://link.springer.com/chapter/10.1007/978-3-031-44067-0_18 \ No newline at end of file +.. _MEGAN: https://link.springer.com/chapter/10.1007/978-3-031-44067-0_18