303bb767f2f2d97b7734 · Mathematical Entities: Corpora and Benchmarks

{
  "title_en": "Mathematical Entities: Corpora and Benchmarks",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2024-05-20",
  "date_original": "May 20, 2024",
  "url": "https://www.nist.gov/publications/mathematical-entities-corpora-and-benchmarks",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Jacob Collard , Valeria de Paiva, Eswaran Subrahmanian",
  "abstract_excerpt_en": "Mathematics is a highly specialized domain with its own unique set of challenges. Despite this, there has been relatively little research on natural language processing for mathematical texts, and there are few mathematical language resources aimed at NLP",
  "id": "303bb767f2f2d97b7734",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Mathematical Entities: Corpora and Benchmarks",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2024-05-20",
      "date_original": "May 20, 2024",
      "url": "https://www.nist.gov/publications/mathematical-entities-corpora-and-benchmarks",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Jacob Collard , Valeria de Paiva, Eswaran Subrahmanian",
      "abstract_excerpt_en": "Mathematics is a highly specialized domain with its own unique set of challenges. Despite this, there has been relatively little research on natural language processing for mathematical texts, and there are few mathematical language resources aimed at NLP"
    }
  ],
  "translation_state": "none"
}