diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
index db4bf36..e1191f2 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -30,7 +30,7 @@
 {
 class ICLTensor;
 
-/** OpenCL kernel to multiply matrices with QASYMM8 data type */
+/** OpenCL kernel to multiply matrices with QASYMM8/QASYMM8_SIGNED data type */
 class CLGEMMLowpMatrixMultiplyNativeKernel : public ICLKernel
 {
 public:
@@ -46,7 +46,7 @@
     CLGEMMLowpMatrixMultiplyNativeKernel &operator=(CLGEMMLowpMatrixMultiplyNativeKernel &&) = default;
     /** Initialise the kernel's input and output.
      *
-     * @param[in]  input0    Input tensor containing the LHS matrix. Data type supported: QASYMM8
+     * @param[in]  input0    Input tensor containing the LHS matrix. Data type supported: QASYMM8/QASYMM8_SIGNED
      * @param[in]  input1    Input tensor containing the RHS matrix. Data type supported: same as @p input0
      * @param[out] output    Output tensor to store the result of matrix multiplication. Data type supported: S32
      * @param[in]  lhs_info  LHS matrix information used to retrieve the number of rows to be processed by each thread
@@ -60,7 +60,7 @@
     void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyNativeKernel
      *
-     * @param[in] input0    Input tensor info for the LHS matrix. Data type supported: QASYMM8
+     * @param[in] input0    Input tensor info for the LHS matrix. Data type supported: QASYMM8/QASYMM8_SIGNED
      * @param[in] input1    Input tensor info for the RHS matrix. Data type supported: same as @p input0
      * @param[in] output    Output tensor info. Data type supported: S32
      * @param[in] lhs_info  LHS matrix information used to retrieve the number of rows to be processed by each thread