f9345c119b0096a32cea · Who wrote What Where: Analyzing the content of human and automatic summaries
Who wrote What Where: Analyzing the content of human and automatic summaries
Abstractive summarization has been a long-standing and long-term goal in automatic summarization, because systems that can generate abstracts demonstrate a deeper understanding of language and the meaning of documents than systems that merely extract
{
"title_en": "Who wrote What Where: Analyzing the content of human and automatic summaries",
"designation": "",
"series": "",
"status": "",
"date": "2011-06-23",
"date_original": "June 23, 2011",
"url": "https://www.nist.gov/publications/who-wrote-what-where-analyzing-content-human-and-automatic-summaries",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Karolina K. Owczarzak , Hoa T. Dang",
"abstract_excerpt_en": "Abstractive summarization has been a long-standing and long-term goal in automatic summarization, because systems that can generate abstracts demonstrate a deeper understanding of language and the meaning of documents than systems that merely extract",
"id": "f9345c119b0096a32cea",
"sources": [
"NIST Publications"
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{
"title_en": "Who wrote What Where: Analyzing the content of human and automatic summaries",
"designation": "",
"series": "",
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"date": "2011-06-23",
"date_original": "June 23, 2011",
"url": "https://www.nist.gov/publications/who-wrote-what-where-analyzing-content-human-and-automatic-summaries",
"source": "NIST Publications",
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"authors_en": "Karolina K. Owczarzak , Hoa T. Dang",
"abstract_excerpt_en": "Abstractive summarization has been a long-standing and long-term goal in automatic summarization, because systems that can generate abstracts demonstrate a deeper understanding of language and the meaning of documents than systems that merely extract"
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