diff --git a/docs/source/reference/terminator.rst b/docs/source/reference/terminator.rst
index 3a4d626fa9..08d5680572 100644
--- a/docs/source/reference/terminator.rst
+++ b/docs/source/reference/terminator.rst
@@ -9,5 +9,5 @@ The :mod:`~optuna.terminator` module implements a mechanism for automatically te
    :toctree: generated/
    :nosignatures:
 
-   optuna.terminator.terminator.Terminator
-   optuna.terminator.callback.TerminatorCallback
\ No newline at end of file
+   optuna.terminator.Terminator
+   optuna.terminator.TerminatorCallback
\ No newline at end of file
diff --git a/optuna/terminator/callback.py b/optuna/terminator/callback.py
index 209a51f197..7e549de85d 100644
--- a/optuna/terminator/callback.py
+++ b/optuna/terminator/callback.py
@@ -15,14 +15,14 @@
 class TerminatorCallback:
     """A callback that terminates the optimization using Terminator.
 
-    This class implements a callback which wraps :class:`~optuna.terminator.terminator.Terminator`
+    This class implements a callback which wraps :class:`~optuna.terminator.Terminator`
     so that it can be used with the :func:`~optuna.study.Study.optimize` method.
 
     Args:
         terminator:
             A terminator object which determines whether to terminate the optimization by
             assessing the room for optimization and statistical error. Defaults to a
-            :class:`~optuna.terminator.terminator.Terminator` object with default
+            :class:`~optuna.terminator.Terminator` object with default
             improvement_evaluator and error_evaluator.
 
     Example:
@@ -35,8 +35,8 @@ class TerminatorCallback:
             from sklearn.model_selection import KFold
 
             import optuna
-            from optuna.terminator.callback import TerminatorCallback
-            from optuna.terminator.erroreval import report_cross_validation_scores
+            from optuna.terminator import TerminatorCallback
+            from optuna.terminator import report_cross_validation_scores
 
 
             def objective(trial):
@@ -58,7 +58,7 @@ def objective(trial):
             study.optimize(objective, n_trials=50, callbacks=[terminator])
 
     .. seealso::
-        Please refer to :class:`~optuna.terminator.terminator.Terminator` for the details of
+        Please refer to :class:`~optuna.terminator.Terminator` for the details of
         the terminator mechanism.
     """
 
diff --git a/optuna/terminator/terminator.py b/optuna/terminator/terminator.py
index 0f63845a73..fd95dc1e84 100644
--- a/optuna/terminator/terminator.py
+++ b/optuna/terminator/terminator.py
@@ -36,7 +36,7 @@ class Terminator(BaseTerminator):
             :class:`~optuna.terminator.improvement.evaluator.RegretBoundEvaluator` object.
         error_evaluator:
             An evaluator for calculating the statistical error, e.g. cross-validation error.
-            Defaults to a :class:`~optuna.terminator.erroreval.CrossValidationErrorEvaluator`
+            Defaults to a :class:`~optuna.terminator.CrossValidationErrorEvaluator`
             object.
         min_n_trials:
             The minimum number of trials before termination is considered. Defaults to ``20``.
@@ -57,8 +57,8 @@ class Terminator(BaseTerminator):
             from sklearn.model_selection import KFold
 
             import optuna
-            from optuna.terminator.terminator import Terminator
-            from optuna.terminator.erroreval import report_cross_validation_scores
+            from optuna.terminator import Terminator
+            from optuna.terminator import report_cross_validation_scores
 
 
             study = optuna.create_study(direction="maximize")
@@ -88,7 +88,7 @@ class Terminator(BaseTerminator):
                     break
 
     .. seealso::
-        Please refer to :class:`~optuna.terminator.callbacks.TerminationCallback` for how to use
+        Please refer to :class:`~optuna.terminator.TerminationCallback` for how to use
         the terminator mechanism with the :func:`~optuna.study.Study.optimize` method.
 
     """