Ambiguous Temporal Term Resolution Engine
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Solution Overview
Problem
Users face ambiguity in interpreting temporal terms in emails, texts, and other resources due to multiple possible interpretations, such as time zones and dates, which existing technologies fail to resolve effectively.
Innovation Solution
A method and apparatus that utilize additional content from messages or related messages to resolve ambiguous temporal terms by determining associations with time zones, dates, locations, and language, employing a classifier or rules to disambiguate the terms, and creating calendar or scheduling entries with the resolved information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional content from messages is utilized to resolve ambiguous temporal terms, then measurement precision of temporal interpretation is improved, but device complexity increases
Solution Approach 1:
The patent introduces an ambiguity resolution system as an intermediary component that sits between the message processing system and the user. This system includes a temporal term engine, additional content engine, and resolution engine that work together to disambiguate temporal terms by analyzing additional content from messages and related messages, thereby improving interpretation accuracy without significantly increasing user-perceived complexity
Solution Approach 2:
The system automatically resolves ambiguous temporal terms by utilizing additional content from the messages themselves and related messages. The temporal term engine identifies ambiguous terms, the additional content engine extracts relevant contextual information, and the resolution engine applies rules or classifiers to determine the correct interpretation, all without requiring manual user intervention
2Reliability
If multiple messages are analyzed to resolve ambiguous temporal terms, then reliability of temporal interpretation is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary analysis by identifying ambiguous temporal terms and extracting additional content from messages before applying resolution rules. The temporal term engine pre-identifies ambiguous terms, and the additional content engine pre-extracts relevant contextual information, so that when resolution is needed, the system already has the necessary information prepared, reducing actual processing time
Solution Approach 2:
The resolution process is divided into distinct segments: the temporal term engine identifies ambiguous terms, the additional content engine extracts contextual information from messages and related messages, and the resolution engine applies rules or classifiers. This segmentation allows each component to work independently and efficiently, improving overall processing speed while maintaining reliability
Data Source
AI summary
Methods and apparatus are disclosed for resolving multiple interpretations of an ambiguous temporal term of a resource to a subset of the multiple interpretations. In some implementations, a group of one or more messages is identified, an ambiguous temporal term of the messages determined, additional content of the messages determined, and multiple interpretations of the ambiguous temporal term resolved to a subset based on the additional content.


