Anaphora resolution for enhanced context switching

A computer system for anaphora disambiguation, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• receiving multimedia data, wherein the multimedia data comprises a plurality of frames;
• converting the multimedia data into a signal wave, wherein the signal wave is converted, using a direct Fourier transfer, to a plurality of sine waves having a plurality of frequencies and a plurality of amplitudes;
• identifying a frame from the plurality of frames having a pronoun;
• identifying a topic of the frame using a deep neural network;
• searching for a frame in a media repository having a highest correlation coefficient with the frame, wherein the frame from the media repository comprises a bag of objects;
• and
• resolving the anaphora disambiguation by substituting the pronoun with an object from the bag of objects.

A computer program product for anaphora disambiguation, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor, the program instructions comprising:
• program instructions to receive multimedia data, wherein the multimedia data comprises a plurality of frames;
• program instructions to convert the multimedia data into a signal wave, wherein the signal wave is converted, using a direct Fourier transfer, to a plurality of sine waves having a plurality of frequencies and a plurality of amplitudes;
• program instructions to identify a frame from the plurality of frames having a pronoun;
• program instructions to identify a topic of the frame using a deep neural network;
• program instructions to search for a frame in a media repository having a highest correlation coefficient with the frame, wherein the frame from the media repository comprises a bag of objects;
• and
• program instructions to resolve the anaphora disambiguation by substituting the pronoun with an object from the bag of objects.