Co-reference Generation for Social Network Message Context
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Solution Overview
Problem
In social networking systems, brief messages often lack context, leading to ambiguity and confusion for recipients, as they spend significant time inferring meaning, and the original point of the message may be lost or unacknowledged.
Innovation Solution
A method and system that generate a co-reference for a selected message by determining correlated messages using natural language processing (NLP) or other text processing techniques, providing the co-reference with the original message to clarify its context and meaning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If brief messages are used for communication, then communication speed and brevity are improved, but message clarity and context understanding deteriorate
Solution Approach 1:
The system performs preliminary analysis of message threads to identify contextual messages before the target message is fully processed. By pre-determining which messages provide relevant context (such as previously discussed topics, related conversations, or background information), the system can automatically attach co-references that supply missing context without requiring the sender to elaborate unnecessarily, thus maintaining brevity while improving clarity.
Solution Approach 2:
The co-reference acts as an intermediary element between the brief message and the full contextual information. Instead of requiring the sender to include all contextual details in the message (which would slow communication), the system inserts co-references that serve as pointers to relevant context elsewhere in the conversation thread, allowing recipients to access complete information without it being explicitly stated in every message.
2Quantity of substance
If recipients spend time inferring message meaning, then message brevity is maintained, but time efficiency and communication effectiveness deteriorate
Solution Approach 1:
The system provides feedback to recipients by automatically analyzing the message thread and inserting co-references that highlight relevant contextual messages. This feedback mechanism reduces the cognitive load on recipients by actively identifying and presenting the information they would otherwise need to search for or infer themselves, thereby reducing understanding time without increasing message length.
Solution Approach 2:
The system replaces the manual cognitive process of inferring message meaning with an automated natural language processing system. The NLP-based co-reference detection mechanism automatically identifies contextual relationships between messages and inserts appropriate references, substituting the recipient's mental effort with machine-based analysis that operates instantly and accurately.
3Ease of operation
If original message intent is left unacknowledged, then communication simplicity is maintained, but communication reliability and understanding accuracy deteriorate
Solution Approach 1:
The co-reference serves as an intermediary that explicitly acknowledges the relationship between the target message and its contextual background. By inserting co-references that point to relevant messages, the system creates visible links that confirm the sender's intent is understood in context, thereby improving reliability without complicating the communication process.
Solution Approach 2:
The system creates copies or references to relevant contextual messages and attaches them as co-references to the target message. This copying mechanism ensures that the original intent and context are preserved and made explicitly visible to recipients, allowing them to verify understanding without requiring the sender to repeat or elaborate on the original message.
Data Source
AI summary
Clarifying communications includes receiving, using a processor, a first message from a sending device directed to a user device, determining, using the processor, a second message correlated with the first message, generating, using the processor, a co-reference from the second message, and providing, using the processor, the first message in association with the co-reference to the user device.