NIST · ИТ · 269b9d73ff0611840f30
Technical Language Processing: Unlocking Maintenance Knowledge
Out-of-the-box natural-language processing (NLP) pipelines need re-imagining to understand and meet the requirements of the engineering sector. Text-based documents account for a significant portion of data collected during the life cycle of asset
NIST · ИТОфициальный источник · 2020-12-11
{
"title_en": "Technical Language Processing: Unlocking Maintenance Knowledge",
"designation": "",
"series": "",
"status": "",
"date": "2020-12-11",
"date_original": "December 11, 2020",
"url": "https://www.nist.gov/publications/technical-language-processing-unlocking-maintenance-knowledge",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Michael P. Brundage , Thurston B. Sexton , Melinda Hodkiewicz, Alden A. Dima , Sarah Lukens",
"abstract_excerpt_en": "Out-of-the-box natural-language processing (NLP) pipelines need re-imagining to understand and meet the requirements of the engineering sector. Text-based documents account for a significant portion of data collected during the life cycle of asset",
"id": "269b9d73ff0611840f30",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Technical Language Processing: Unlocking Maintenance Knowledge",
"designation": "",
"series": "",
"status": "",
"date": "2020-12-11",
"date_original": "December 11, 2020",
"url": "https://www.nist.gov/publications/technical-language-processing-unlocking-maintenance-knowledge",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Michael P. Brundage , Thurston B. Sexton , Melinda Hodkiewicz, Alden A. Dima , Sarah Lukens",
"abstract_excerpt_en": "Out-of-the-box natural-language processing (NLP) pipelines need re-imagining to understand and meet the requirements of the engineering sector. Text-based documents account for a significant portion of data collected during the life cycle of asset"
}
],
"translation_state": "none"
}