Session Information Processing for Ambiguous Sentence Analysis
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Solution Overview
Problem
Current AI technologies in dialog systems face challenges in accurately analyzing and responding to incomplete or ambiguously worded sentences, as they struggle to determine the context and semantics of sentences without sufficient preceding information.
Innovation Solution
A session information processing method that extracts and analyzes a to-be-analyzed sentence and a preset quantity of preceding sentences, performing word segmentation and feature extraction to categorize the sentence as complete and unambiguous, incomplete, or ambiguous, and uses a mapping model to complete sentences when necessary, enabling semantic analysis and appropriate responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only the current sentence is analyzed without preceding sentences, then the processing speed is fast, but the semantic analysis accuracy deteriorates for incomplete or ambiguous sentences
Solution Approach 1:
The patent applies preliminary action by extracting and storing a preset quantity of preceding sentences before analyzing the current to-be-analyzed sentence. This allows the system to have context information ready in advance, enabling accurate semantic analysis of incomplete or ambiguous sentences without requiring complex real-time retrieval during the analysis phase.
Solution Approach 2:
The patent segments the sentence analysis process into two distinct paths: one for complete sentences (first category) and another for incomplete or ambiguous sentences (second category). This segmentation allows the system to apply different processing strategies - simple analysis for complete sentences and context-based analysis using preceding sentences for ambiguous ones, thereby improving overall accuracy without uniformly increasing complexity for all sentences.
2Reliability
If preceding sentences are extracted and analyzed to determine sentence category, then the semantic understanding improves, but the processing time increases
Solution Approach 1:
The patent applies partial action by extracting only a preset quantity of preceding sentences rather than the entire conversation history. This selective extraction provides sufficient context for accurate semantic understanding while avoiding the time cost of processing excessive historical data, thus balancing reliability improvement with time efficiency.
3Measurement precision
If sentence completion is performed using mapping model and auto-encoder, then the semantic analysis accuracy improves for ambiguous sentences, but the computational complexity increases
Solution Approach 1:
The mapping model and auto-encoder are pre-trained and prepared in advance as part of the system setup. This preliminary preparation allows the complex computational model to be ready for inference without requiring complex processing during runtime, reducing the perceived computational complexity during actual sentence analysis while maintaining high accuracy through the pre-established mathematical relationships in the model.
Data Source
AI summary
This application discloses a session information processing method and device, and a storage medium. The method includes: extracting a to-be-analyzed sentence and preceding sentences of the to-be-analyzed sentence from a session; performing word segmentation on the to-be-analyzed sentence and the preceding sentences, to obtain a first feature set including a plurality of first features; extracting a second feature set including one or more second features from a first word set corresponding to the to-be-analyzed sentence and a second word set corresponding to the preceding sentences, one second feature including a phrase or sentence including a first word and a second word, the first word being one or more words in the first word set, and the second word being one or more words in the second word set; and determining, according to the first feature set and the second feature set, a sentence category to which the to-be-analyzed sentence belongs.