摘要
新闻编辑从发明者提供的背景资料中获得以下引文：“税务专家和专业人士审查与税收有关的法律、法规和文章以保持最新。这些法律、法规和文章通常由数百页或数千页的文本组成，经常描述有关某些税种的税收规则或税率。这些税种对于理解法律、法规和税收条款非常重要。如果能够在这些文件的美国文本中有效地识别这些税种，将使税务专家和专业人员能够更有效地工作。目前的识别方法包括手动阅读这些条款的全文，关键词搜索文章文本的数字版本也是可行的，但存在遗漏或错误识别某些税收类别的缺陷。由于法律法规的影响可能很大，因此仍然倾向于对文章进行手工阅读，以减少这种错误的可能性。尽管这样做花费了大量的时间和成本。
Abstract
The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Tax experts and professionals review tax-relate d laws, regulations, and articles to stay up to date. These laws, regulations, a nd articles, which are often composed of hundreds or thousands of pages of text, often describe tax rules or rates regarding certain tax categories. These tax c ategories are important to understand the laws, regulations, and tax articles. T hus, being able to efficiently identify these tax categories within the volumino us text of these documents would allow tax experts and professionals to work mor e efficiently. Current approaches to identification include manually reading the entire text of these articles, which takes significant time and incurs a great cost. Keyword searching digital versions of the texts of the articles is also po ssible, but suffers from the drawback of missing or misidentifying certain tax c ategories. Since the impact of the laws and regulations can be significant, manu al reading of the articles is still preferred to reduce the possibility of such errors, despite the great time and cost of doing so.”
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