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Entity Matching Workflow Documentation

This document describes the workflow for comparing a resume (CV) with a job description using Named Entity Recognition (NER), normalization, and similarity metrics.


Overview of the Workflow

The pipeline consists of the following steps:

  1. LLM NER: Extract named entities from both the resume and job description.
  2. Named Entity Normalization: Normalize the extracted entities (e.g., combine subtokens and standardize case).
  3. Set Similarity Metric: Compare the normalized entities using a weighted Jaccard similarity metric.

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Uses ML model to compare CV and Job Description

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