包裹。接下来的内容里有多条数据相关的列表，比如关于67,868 cited provisions的不同处理结果，还有关于78,361 answers的四种不同情况，这些都需要用
- 来呈现。需要确认每个列表项的内容是否准确对应原文，不能增删改。重要的句子比如涉及研究方法和成果的部分，比如“Following the five stages of NVIDIA Auto Ontology, Discover, Ground, Validate, Expose and Learn, we turn four open datasets into a knowledge graph of 11.5 M nodes and 16.0 M edges in which every node and edge carries its source record and method, with no duplicate keys, dangling edges or schema violations.”可以用包裹吗？不过原文里没有特别标注的重要句子，可能用户的规则里说“重要句子可用”，所以需要判断哪些是重要的。比如关于研究方法和成果的句子是重要的，应该加。然后看后面的列表，比如“36% of the 78,361 answers whose citations resolve now cite a law that is no longer in force”等内容，需要放在
-
里吗？是的，因为是列表内容。所以结构应该是：先用一个
- 列出。对于78,361 answers的四个数据点，也用
- 列出？不对，原文中“36%...; 2,525...; 2,520...; and 5,575...”是四个并列的句子，作为同一段里的列表吗？需要看原文的标点，分号分隔的四个部分，所以应该用
-
包裹这四个
- 。然后最后一句“Every number in this paper is computed from the graph.”单独用
包裹吗？是的，因为是另一个自然段落。现在整理一下： 首先，第一个
里的内容是：A legal answer... with no duplicate keys, dangling edges or schema violations. 其中“Following the five stages... no duplicate keys, dangling edges or schema violations.”是重要句子，用包裹。然后下一个
里的内容是“Of 67,868 cited provisions... word for word.”，后面跟着三个
- 吗？不，原文中这部分是三个并列的，比如“61,487 resolve...; 51,694 to...; and 19,012 are...”是三个数据点，用
-
包裹。然后下一个部分是“The ontology then shows what flat records hide.”后面跟着四个数据点，用
- 61,487 resolve to a dated law version
- 51,694 to a parsed article, clause or point
- 19,012 are confirmed word for word
- ，所以应该是：
A legal answer...
Of 67,868 cited provisions,
- ... ...
-
放在
- 61,487 resolve to a dated law version
- 51,694 to a parsed article, clause or point
- 19,012 are confirmed word for word
- 36% of the 78,361 answers whose citations resolve now cite a law that is no longer in force
- 2,525 verified citations point to an article number that says something else in the current law
- 2,520 citations were re-versioned because their words match a different version than their date suggests
- 5,575 document numbers are shared by several local authorities, one of them by 72
- ... ...
- 61,487 resolve... ...
- 61,487 resolve to a dated law version
- 51,694 to
外面？因为HTML中
-
不能嵌套在
里，所以需要调整。比如：
A legal answer is only as good as the article it rests on. Vietnam's largest open legal corpus pairs 109,543 published questions and answers with 573,851 legal documents, yet its citations are free text: "Khoan 3 Dieu 101 cua Bo luat nay" ("Clause 3, Article 101 of this Code") names neither the code nor its version. Following the five stages of NVIDIA Auto Ontology, Discover, Ground, Validate, Expose and Learn, we turn four open datasets into a knowledge graph of 11.5 M nodes and 16.0 M edges in which every node and edge carries its source record and method, with no duplicate keys, dangling edges or schema violations.
Of 67,868 cited provisions,
The ontology then shows what flat records hide.
Every number in this paper is computed from the graph.
对，这样-
放在
里面是不允许的，所以应该把每个列表部分单独用
包裹吗？不，
-
本身是块级元素，可以和
并列。正确的方式是：
A legal answer...
Of 67,868 cited provisions,
A legal answer...
-
。所以正确的HTML是：
A legal answer is only as good as the article it rests on. Vietnam's largest open legal corpus pairs 109,543 published questions and answers with 573,851 legal documents, yet its citations are free text: "Khoan 3 Dieu 101 cua Bo luat nay" ("Clause 3, Article 101 of this Code") names neither the code nor its version. Following the five stages of NVIDIA Auto Ontology, Discover, Ground, Validate, Expose and Learn, we turn four open datasets into a knowledge graph of 11.5 M nodes and 16.0 M edges in which every node and edge carries its source record and method, with no duplicate keys, dangling edges or schema violations.
Of 67,868 cited provisions,
-
包裹。然后最后一句“Every number in this paper is computed from the graph.”用
包裹。 所以最终的HTML结构应该是：
A legal answer is only as good as the article it rests on. Vietnam's largest open legal corpus pairs 109,543 published questions and answers with 573,851 legal documents, yet its citations are free text: "Khoan 3 Dieu 101 cua Bo luat nay" ("Clause 3, Article 101 of this Code") names neither the code nor its version. Following the five stages of NVIDIA Auto Ontology, Discover, Ground, Validate, Expose and Learn, we turn four open datasets into a knowledge graph of 11.5 M nodes and 16.0 M edges in which every node and edge carries its source record and method, with no duplicate keys, dangling edges or schema violations. Of 67,868 cited provisions,
Every number in this paper is computed from the graph.
不对，因为-
不能直接放在
里面，应该调整结构。比如，“Of 67,868 cited provisions”后面是三个
- 吗？不，原文中这部分是三个并列的，比如“61,487 resolve...; 51,694 to...; and 19,012 are...”是三个数据点，用
- 。然后最后一句“Every number in this paper is computed from the graph.”单独用
- 列出？不对，原文中“36%...; 2,525...; 2,520...; and 5,575...”是四个并列的句子，作为同一段里的列表吗？需要看原文的标点，分号分隔的四个部分，所以应该用
包裹开头的段落，其中包含重要的研究方法句子用。然后对于67,868 cited provisions的三个数据点，用
- 列出。对于78,361 answers的四个数据点，也用