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Listening Quiz: Thảo Luận Về Các Trường Hợp Sử Dụng Nhận Diện Thực Thể Có Tên – Easy Level
Th2 23, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
What is the main topic of William and Olivia’s conversation?
The history of computer programming languages
How to write contracts for a legal team
Ways to organize company meetings
The benefits of named entity recognition in legal work
Explanation:
They discuss named entity recognition and how it can help with legal documents, contracts, and efficiency.
2.
According to William, what can named entity recognition find in text?
Weather reports and travel routes
Just legal terms and signatures
Names, places, dates, companies, and laws
Only company names and phone numbers
Explanation:
William says it can find names and places, and later adds dates, companies, and laws.
3.
How does William say named entity recognition helps the legal operations team?
It saves time by quickly sorting through many documents
It automatically writes new contracts
It replaces the need for all legal review
It translates documents into other languages
Explanation:
William explains that it can save time by quickly sorting through many documents.
4.
What can be inferred about Olivia’s attitude toward named entity recognition?
She thinks it only works for names of people
She thinks it could be helpful for her team
She believes it is too complicated to use
She wants to avoid using it in legal work
Explanation:
Olivia says it sounds useful and later says it will help them review contracts faster and better.
5.
What feature of the tools does William mention for people without tech skills?
They only work on expensive computers
They have simple interfaces for everyone
They require special training before use
They are designed only for programmers
Explanation:
William says many tools have simple interfaces for everyone.
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