2601.09119v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:19.846000Z",
      "hash": "a6f4ed25ca4eaeca32b972ed6d19e3cf965ab6c1f23c2ea2272f45f16b3e807d",
      "id": "6e1d85dd-a933-484c-9147-23b5409dab62",
      "source": {
        "execution_id": "da7ff2dd-4f22-4dcb-9bfd-89fbca4a798d",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "a6f4ed25ca4eaeca32b972ed6d19e3cf965ab6c1f23c2ea2272f45f16b3e807d",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.09119v1.pdf",
      "size": 1915160
    },
    "source": {
      "execution_id": "088912ee-ffb4-44da-bdf5-88b52e8041cf",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 15,
      "producer": "pikepdf 8.15.1",
      "title": "Contrastive Bi-Encoder Models for Multi-Label Skill Extraction: Enhancing ESCO Ontology Matching with BERT and Attention Mechanisms",
      "version": "1.7"
    },
    "source": {
      "execution_id": "8f2ee47b-46c5-4737-af45-92c814f49504",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}