Anaphora Resolution via Signal Wave Correlation
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Solution Overview
Problem
Natural language processing systems face challenges in disambiguating anaphora, where pronouns refer to different words or contexts, leading to ambiguity in multimedia content processing, especially for cognitively impaired consumers.
Innovation Solution
A method that converts multimedia data into signal waves, compares them to a repository of resolved anaphora waves, and resolves ambiguity by substituting pronouns with objects from a bag of objects based on the highest correlation coefficient, using neural networks and Fourier transforms to analyze and decode the signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional NLP methods are used to process pronouns, then processing speed is maintained, but anaphora disambiguation accuracy deteriorates due to inability to resolve pronoun references to different contexts
Solution Approach 1:
The patent transforms the anaphora resolution problem from a purely linguistic analysis task into a signal processing task by converting natural language text into audio waveforms. This dimensional change allows the system to leverage signal processing techniques and audio similarity comparison to resolve pronoun references, thereby improving disambiguation accuracy while managing system complexity through a different approach paradigm.
Solution Approach 2:
The patent introduces audio waveforms as an intermediary representation between the original text and the anaphora resolution process. By converting text to audio and comparing waveform similarities, the system creates a mediating layer that bridges the gap between linguistic structures and semantic understanding, enabling more accurate pronoun reference resolution.
2Reliability
If multimedia data is converted to signal waves for analysis, then anaphora resolution capability is improved, but computational complexity increases due to Fourier transforms and wave comparison
Solution Approach 1:
The patent creates copies of the original text in the form of audio waveforms and stores them in a repository. Instead of performing complex computational analysis on each new query, the system compares incoming text conversions against these pre-generated waveform copies, significantly reducing real-time computational complexity while maintaining reliable context switching through accumulated knowledge.
Solution Approach 2:
The patent performs preliminary conversion of text to audio waveforms and stores them in advance in a repository. This preliminary action allows the system to prepare reference materials before they are needed for anaphora resolution, reducing the computational burden during actual processing and improving overall system efficiency while maintaining reliability.
3Ease of operation
If pronouns are resolved using bag of objects comparison, then clarity for cognitively impaired consumers is improved, but processing time increases due to repository searching
Solution Approach 1:
The patent creates and stores audio waveform copies in a repository that can be efficiently searched. These copies enable rapid comparison and matching operations, reducing the time required for anaphora resolution while improving clarity for users by providing accurate pronoun references through waveform similarity matching rather than time-consuming text analysis.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively disambiguates anaphora in multimedia content by identifying the most similar wave pattern, improving NLP processing and enhancing clarity for multimedia consumption.
Implementation Method 1
The computer converts the multimedia data into a signal wave having a plurality of frequencies and a plurality of amplitudes
Data Source
AI summary
A computer receives a multimedia data, where the multimedia data comprises a plurality of frames. The computer converts the multimedia data into a signal wave having a plurality of frequencies and a plurality of amplitudes. The computer determines a frame from the plurality of frames having a pronoun. The computer identifies a topic of the frame. The computer searches for a frame in a media repository having a highest correlation coefficient with the topic of the frame, where the frame from the media repository comprises a bag of objects and resolves the anaphora disambiguation by substituting the pronoun with an object from the bag of objects.