most_relevant_entities_aggregator

What problem does it solve?

This Skill addresses the challenge of identifying and ranking the most relevant entities from a given document, streamlining the process of entity analysis.

Core Features & Use Cases

• Entity Extraction: Automatically extract specific types of entities from documents.
• Entity Ranking: Sort extracted entities based on their relevance to a given query.
• Use Case: For instance, analyzing a collection of documents to identify the most significant characters in a story or the key entities in a scientific paper.

Quick Start

Run the most_relevant_entities_aggregator skill with the following command:

python scripts/run_most_relevant_entities_aggregator.py \
  --input ./input.json \
  --output ./output.json \
  --api_model qwen2.5-72b-instruct \
  --entity 李莲花 \
  --query_entity_type 人物