Question Compiler Assembling Fragmented Natural Language Inputs
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Solution Overview
Problem
Existing question-and-answer (QA) systems struggle to process natural language inputs that are formulated as multiple sentence fragments or sentence fragments that may not be in a question format, leading to inaccurate answers as they consider each fragment as a separate, unrelated query.
Innovation Solution
A method is implemented in a data processing system that uses a question compiler to assemble natural language user inputs into cohesive questions by grouping semantically related fragments and setting a timer to determine when to output the question to the QA system, allowing for accurate processing and answering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the QA system processes each sentence fragment as a separate query, then the processing speed is faster, but the answer accuracy deteriorates because the semantic relationship between fragments is lost
Solution Approach 1:
The question compiler performs preliminary actions by collecting and buffering multiple sentence fragments before submitting them as a complete question. The system waits for a threshold number of fragments or a time threshold to elapse before processing, ensuring that the user's complete intent is captured before the QA system begins analysis.
Solution Approach 2:
The question compiler acts as an intermediary component between the user interface and the QA system. It receives fragmented input from the user, assembles them into coherent questions, and then submits the compiled questions to the QA system for processing, thereby preserving semantic relationships while maintaining system efficiency.
2Measurement precision
If the system waits for complete question input before processing, then the answer accuracy is improved, but the processing time increases due to waiting for additional fragments
Solution Approach 1:
The question compiler dynamically adjusts its behavior based on input patterns. It monitors the rate at which fragments are received and adapts the waiting threshold accordingly, balancing the need for complete questions against the desire for responsive processing.
Solution Approach 2:
The system employs periodic checking with time thresholds to determine when to submit compiled questions. Instead of waiting indefinitely for complete input, the system checks periodically whether the accumulated fragments form a complete question or if the time threshold has been exceeded, allowing it to proceed with processing at appropriate intervals.
3Speed
If the system processes fragmented input immediately, then the response time is reduced, but the semantic coherence of the question deteriorates
Solution Approach 1:
The question compiler performs preliminary assembly of sentence fragments into coherent questions before submission to the QA system. This preliminary action ensures that semantic relationships are established and preserved, creating stable and meaningful questions that maintain compositional integrity.
Data Source
AI summary
Mechanisms are provided for assembling natural language user inputs into questions for a question-and-answer (QA) system. The mechanisms initialize a timer to a threshold amount of time, receive a first input of content-bearing natural language from a user computing device, and initiate running of the timer in response. The mechanisms determine whether a second input of content-bearing natural language is received from the user computing device prior to the threshold amount of time being reached by the timer. If so, the second input is grouped with the first input to generate a question comprising content of both the first input and the second input, and the timer is reset. In response to the timer reaching the threshold without further input from the user computing device, the question is provided to the QA system as an input question for processing by the QA system.