diff --git a/doc/src/angle_style.txt b/doc/src/angle_style.txt
index a0bc47ba4c..2c3c1f2bd1 100644
--- a/doc/src/angle_style.txt
+++ b/doc/src/angle_style.txt
@@ -57,10 +57,15 @@ Here is an alphabetic list of angle styles defined in LAMMPS.  Click on
 the style to display the formula it computes and coefficients
 specified by the associated "angle_coeff"_angle_coeff.html command.
 
-Note that there are also additional angle styles submitted by users
-which are included in the LAMMPS distribution.  The full list of all
-angle styles are is on the "Commands bond"_Commands_bond.html#angle
-doc page.
+Click on the style to display the formula it computes, any additional
+arguments specified in the angle_style command, and coefficients
+specified by the associated "angle_coeff"_angle_coeff.html command.
+
+There are also additional accelerated pair styles included in the
+LAMMPS distribution for faster performance on CPUs, GPUs, and KNLs.
+The individual style names on the "Commands
+angle"_Commands_bond.html#angle doc page are followed by one or more
+of (g,i,k,o,t) to indicate which accelerated styles exist.
 
 "none"_angle_none.html - turn off angle interactions
 "zero"_angle_zero.html - topology but no interactions
diff --git a/doc/src/pair_style.txt b/doc/src/pair_style.txt
index 9a5de55ef0..5eb810db8f 100644
--- a/doc/src/pair_style.txt
+++ b/doc/src/pair_style.txt
@@ -81,9 +81,9 @@ Here is an alphabetic list of pair styles defined in LAMMPS.  They are
 also listed in more compact form on the "Commands
 pair"_Commands_pair.html doc page.
 
-Click on the style to display the formula it computes, arguments
-specified in the pair_style command, and coefficients specified by the
-associated "pair_coeff"_pair_coeff.html command.
+Click on the style to display the formula it computes, any additional
+arguments specified in the pair_style command, and coefficients
+specified by the associated "pair_coeff"_pair_coeff.html command.
 
 There are also additional accelerated pair styles included in the
 LAMMPS distribution for faster performance on CPUs, GPUs, and KNLs.