KBQA：Word Embedding Similarity Matching System
Knowledge-Based Question-Answering System Using Word Embedding Similarity Matching, with Word Embedding Encoding of Questions to Obtain Results
Model Architecture Diagram：
Description： Knowledge-Based Question-Answering System Using Word Embedding Similarity Matching, with functions including building a question-answering knowledge base, encoding questions into word embeddings using the BERT model, matching user input with appropriate answers based on cosine similarity, and providing services through an HTTP interface. The input is a set of text words, and the output is the corresponding answer.
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