lp stringclasses 3
values | src stringclasses 415
values | mt stringlengths 1 388 ⌀ | ref stringlengths 3 370 | raw int64 0 100 | annotators int64 1 1 | domain stringclasses 1
value | year int64 2.02k 2.02k | task stringclasses 2
values | sys_id int64 0 34 |
|---|---|---|---|---|---|---|---|---|---|
en-zh | So to conclude our work, so first our model is actually pretty efficient. | 首先,我们的模型实际上相当高效, | 对我们的工作做个总结,首先我们的模型实际上是非常有效的。 | 65 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | Out of the twenty two thousand six hundred and thirty three articles, only one thousand six hundred and twelve are referred to as relevant to at least one question in the dataset. | 在22,633个条款中,只有1,612条被认为与数据集中的至少一个问题相关, | 在22633个条款中,只有1612个与数据集中的至少一个问题相关。 | 92 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | And each articles comes with a concatenation of the subsequence heading in the structure of the law. | 每个文章都有其后续标题的连结。在法律的结构中 | 每个条款都带有法律结构中子序列标题的联结。 | 80 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | We have also formulated a task of entering commit messages and summarizing them so that it is applicable to all projects written in English. | 我们还制定了输入承诺信息和总结它们的任务,使其适用于所有用英语撰写的项目. | 我们还制定了一项输入提交信息并对其进行总结的任务,以便适用于所有用英语写的项目。 | 73 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | In addition, each question comes with the main category and a concatenation of subcategories. | 此外,每个问题都有一个主要类别和子类别的连结, | 此外,每个问题都具有主类别和一系列子类别。 | 37 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | So this makes the process more accurate. | 这使得这个过程更加准确。因此, | 这使得这个过程更加准确。 | 95 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | First, we make use of strong language models to propose foils. | 首先,我们使用强大的语言模型来提出unk。 | 首先,我们利用强大的语言模型来提出干扰。 | 80 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | After the feature extraction phase, there is a feature generation phase when we use the extracted features to generate a small number of new features. | 在未来的提取阶段之后,有一个非正式的生成阶段,当我们使用提取的功能来生成少量的新功能时。 | 在特征提取阶段之后,还有一个特征生成阶段,我们使用提取的特征来生成少量的新特征。 | 55 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | Release notes play an important role in open source development but they're time consuming to prepare manually. | .RnSAM在开源开发中起着重要作用,但手动准备需要很长时间. | 发行说明在开源开发中起着重要作用,但手动准备它们是很耗时的。 | 75 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | But the labels are not always consistent with each repository. | 狂犬病并不总是与遗产相一致, | 但是,标签并不总是与每个存储库一致。 | 59 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | It takes a rule-based approach, for example using the change extractor to extract all differences, library changes and document changes from the differences between releases, and finally combining them. | 它采取了非常好的方法,例如使用变更摘要来提取调用差异,从使用之间的差异中提取每个变更和文档的变化。最后,结合使用 | 它采取了一种基于规则的方法,例如使用变化提取器从不同版本的差异中提取所有的差异、库的变化和文件的变化,最后再将它们结合起来。 | 76 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | So, we make it to convey more accurate semantics such that the model is able to make um the prediction correct. | ,以便它能够传达更精确的语义,以便模型能够正确预测。 | 我们使其传达更准确的语义,以便模型能够使预测正确。 | 94 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | Or in other words, we trained the language model to classify an abstract and class ah to abstract and class ah, if the abstract belongs to the class or not. | 换句话说,我们训练语言模型 去分类、抽象和分类。在课堂上抽象。如果抽象 属于类与否, | 或者换句话说,我们训练了语言模型,将一个抽象和类划分为抽象和类,无论抽象属不属于类。 | 50 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | But statutory article retrieval has remained mainly untouched due to the lack of large and high quality labeled datasets. | 但法定条款检索主要留在接触中,原因是缺乏大型和高质量的标签支架。 | 但由于缺乏较大的高质量标签化数据集,法定条款检索基本上没有受到影响。 | 70 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | So to conclude our work, so first our model is actually pretty efficient. | 总结一下我们的工作, 首先,我们的模型实际上非常高效, | 对我们的工作做个总结,首先我们的模型实际上是非常有效的。 | 84 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | This is due to the large number of unique class or method names found in the repository. | 这是由于存储库中发现了大量独特的类和方法名称. | 这是由于在资源库中发现了大量独特的类或方法名称。 | 94 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | As knowledge base, we use Wikipedia. | 我们使用维基百科作为知识库. | 我们使用维基百科作为知识库。 | 90 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | So, in our prediction we find some of the intermediate values are actually negatives. | 在我们的预测中,我们发现一些中间值实际上是负的。 | 在我们的预测中,我们发现一些中间值实际上是负数。 | 89 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | This penalty results in a lower BLEU value in the experiment results described next. | 在下面描述的实验结果中,这种处罚会导致较低的蓝色值. | 在接下来描述的实验结果中,这种惩罚导致了较低的BLEU值。 | 90 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | So in our datasets we are also given the mathematical expression which leads to the ah to this particular answer as well. | 在我们的数据集中,我们还得到了数学表达式, 这也导致了这个特定的答案. | 在我们的数据集中,还向我们提供了数学表达式,该表达式也导向这个特定的答案。 | 81 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | CEAS got a better ROUGE-L score than CAS suggesting that combining a classifier and a generator is effective on training the classifier using pseudo labels. | C-E-A-S比 C-E-A-S获得了更好的红色错误得分,这表明将分类器和生成器结合起来对使用伪字符训练分类器是有效的.可以正确地实现 | CEAS比CAS得到了更好的ROUGE-L分数,这表明将分类器和生成器结合在一起对使用伪标签训练分类器是有效的。 | 24 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | In particular, on the clean test set, the score gap between the proposed method and the baselines jumped to more than twenty points. | 特别是,在绿色测试集中,所提出的方法和基线之间的分数差距跳跃到20分以上。 | 特别是在干净的测试集上,建议的方法和基线之间的分数差距跃升到20分以上。 | 95 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | It is available on the internet and can be installed via pip. | 在互聯網上它可以是由AP | 它可以在互联网上下载,并可以通过pip安装。 | 69 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | The commit messages classified as other are discarded. | 委员会的消息分类为其他 | 被归类为“其他”的提交消息将被丢弃。 | 70 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | As a result, many vulnerable citizens who cannot afford the costly assistance of a legal expert are left unprotected or, worst, exploited. | 因此,许多无法负担法律专家昂贵的援助的脆弱公民不受保护或更糟糕的是被剥削。 | 结果,许多无法承担法律专家昂贵费用的弱势公民得不到保护,或者(更糟糕的是)受到剥削。 | 93 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | The results with pairwise accuracy are shown here and they are consistent with the results we got from the other metrics is that the best zero shot performance is achieved by ViLBERT twelve in one, followed by ViLBERT, LXMert, CLIP, and finally VisualBERT. | 这里显示了对对精确度的结果, 它们与我们从其他指标中得到的结果一致。这是最好的零射击表现 是威尔伯特12在1实现, 其次是威尔伯特亚历克斯谋杀剪辑。最后,视觉鸟。 | 这里显示了成对的准确度的结果,它们与我们从其他指标中得到的结果一致,即ViLBERT十二分之一取得了最佳的零样本表现,其次是ViLBERT、LXMert、CLIP,最后是VisualBERT。 | 47 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Then, we generate the new features and evaluate them using five evaluation classifiers. | 然后我们生成新功能,并使用五个评估分类器评估它们。 | 然后,我们生成新的特征,并使用五个评估分类器对其进行评估。 | 100 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Since it is a zero shot testing benchmark only, it is designed to leverage the existing capabilities of vision and language models after pretraining. | 因为它是一个零射击测试基准。仅此而已。它旨在利用视觉和语言模型的现有能力。在预训练之后 | 由于它仅是一个零样本测试基准,因此它旨在利用预训练后的视觉和语言模型的现存功能。 | 73 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Feature generation using another data source may add substantial information. | 使用另一个数据源可以添加实质性的信息。 | 使用另一个数据来源生成特征可能会增加大量的信息。 | 84 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | Well, during the last years, we have seen an explosion of transformer based vision and language models pretrained on large amounts of image text pairs. | 在过去的几年里, 我们看到基于变形器的 视觉和语言模型激增, 这些模型在大量图像文本对上 进行了预训练。 | 那是因为,在过去的几年里,我们看到了基于转换器的视觉和语言模型在大量的图像文本对上进行预训练的爆炸性增长。 | 90 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Lastly, we passed the legal references and filtered out the questions whose references were not articles in one of the codes of law we considered. | 最后,我们通过了法律引用,并过滤了那些引用不是我们考虑的低代码中的文章的问题。 | 最后,我们浏览了法律参考文献,并过滤掉参考文献不包含在我们所考虑的其中任何一部法律条款的问题。 | 72 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | That can help improve access to justice for all. | 您可以在下面的 | 这可以帮助改善所有人对司法的利用。 | 38 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | And it is pretty easy to implement and it can generalize to many different complicated problem. | 很容易实现, 它可以对许多不同的复杂问题进行概括. | 这很容易实现,可以概括成许多不同的复杂问题。 | 75 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | Suggesting that it is also effective to independently develop differently abstractive summarization models for each release note class. | 这表明对于每个发布说明类别来说,独立开发不同的抽象总结模型也有效. | 这代表着,为每个发行说明类别独立开发不同的抽象总结模型也是有效的。 | 76 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | And we are able to provide interpretable solving procedure. | 我们能够提供可解释的解决程序. | 我们能够提供可解释的解决程序。 | 100 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | However, none of the remaining pieces can be reliably solved in our adversarial foiling settings. | ,在我们的对抗 FOIL 设置中, 没有一个剩余的碎片可以可靠地解决. | 但是,在我们的对抗性干扰设置中,其余的部分都不能被可靠地解决。 | 22 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | Then it reformulated the task into a pairwise sentence classification task. | 然后它将任务重新编制成每句分类任务. | 然后,它将任务重新表述为一个成对的句子分类任务。 | 90 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | So the label vector in this case stays always ah which consists always with two classes. | 标签向量, 在这种情况下, 总是, 总是由两个类组成. | 因此,标签向量在这种情况下始终保持……它总是由两个类组成。 | 40 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | A preliminary multitask finetuning phase. | 一个初步的多任务微调阶段 | 一个初步的多任务微调阶段。 | 85 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | The articles are much longer with a median length of seventy seven words, with one hundred and forty two of them exceeding one thousand words. | 文章长得多, 中位长度为 77 单词, 142 个单词超过 1000 单词, | 条款则要长得多,中位数为77个单词 ,其中有142条超过1000单词。 | 82 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Instead, the landlord should probably rely more on case law and find precedents similar to their current situation. | 相反,房东应该更多地依赖判例法, 寻找与他们当前情况相似的先例. | 相反,房东可能应该更多地依靠判例法,找到与他们目前情况相似的先例。 | 91 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | Therefore, it would be very useful to be able to automatically generate high quality release notes. | 因此,能够自动生成高质量的DS音符将非常有用。 | 因此,如果能够自动生成高质量的发行说明,那将是非常有用的。 | 50 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | And we also try to analyze the difficulty behind these behind all these datasets. | 我们还试图分析所有这些数据集背后的难度. | 我们还试图分析所有这些数据集背后的困难。 | 71 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | Do vision and language models focus on the right thing? | 视觉和语言模型是专注于正确的事, | 视觉和语言模型关注的是正确的事情吗? | 85 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Also, the average number of release notes tokens is sixty three, which is quite high for a summarization task. | 这对于总结任务来说是相当高的数量. | 此外,发行说明令牌的平均数量为63,这对于一个总结任务来说是相当高的。 | 65 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | And this dataset is challenging because the author tried to manually ah adding something to confuse the NLP model like such as adding irrelevant information and extra quantities. | 这个数据集具有挑战性, 因为作者试图手动添加一些东西 来混淆纳尔比模型, 比如添加无关信息和额外的数量。因此, | 这个数据集具有挑战性,因为作者试图手动添加一些东西来混淆NLP模型,例如添加不相关的信息和额外的数量。 | 75 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Then, we generate the new features and evaluate them using five evaluation classifiers. | 然后我们生成新的特征并使用5个评估分类器对它们进行评估. | 然后,我们生成新的特征,并使用五个评估分类器对其进行评估。 | 95 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | First we get the ah pair representation, which is basically just the concatenation between q_1 and q_2, and then we apply a feedforward network which is parameterized by the operator. | 首先我们得到对表示, 它基本上只是 k 1 和 k 2 之间的连结。然后我们应用一个前传网络, 这个网络由操作员渗透。 | 首先,我们得到配对表达,它基本上只是q_1和q_2之间的联结,然后我们应用一个由运算符参数化的前馈网络。 | 63 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Thank you. | ! | 谢谢。 | 0 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | Our approach achieved six percent improvement. | 我们的方法改进了6%. | 我们的方法实现了6%的改进。 | 100 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | The first phase of FeSTE is entity linking. | 拳头的第一阶段是实体连接。 | FeSTE的第一阶段是实体链接。 | 75 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | So the nice thing here is that we can easily add constraints to control this search this search space. | 这里的好东西是,我们可以很容易地限制控制这个搜索这个搜索空间, | 这里的好处是我们可以轻松地添加约束条件,来控制这个搜索这个搜索空间。 | 87 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | So, in tree based models, we actually structure these expressions in the tree form and follow a preordered traversal in tree generations. | 因此,在基于树的模型中, 我们实际上将这些表达式 结构化为树形式, 并遵循树生成的预顺序 | 因此,在基于树的模型中,我们实际上以树的形式进行这些表达式的结构化,并在树代中遵循预先排序的遍历。 | 89 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | We use a bi-encoder model that maps queries and articles into dense vector representations and calculate a relevance score between a query article pair by the similarity of their embeddings. | 模型将查询和文章映射成密集的矢量表示, 并根据它们的嵌入的相似性计算查询-文章对之间的相关得分. | 我们使用双编码器模型将查询和条款映射到密集的向量陈述中,并通过查询条款对嵌入的相似度计算它们之间的相关性分数。 | 70 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | This proposed method can be used for all English repositories. | 这种建议的方法可以用于所有英语存储库. | 这个提议的方法可以用于所有英语存储库。 | 100 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | And in fact we do not use beam search, in contrast all previous approaches are using beam search. | 事实上,我们不使用光束搜索。相反,使用光束搜索的显而易见的方法。 | 事实上,我们不使用波束搜索。相反,所有之前的方法都使用波束搜索。 | 42 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | CAS-Multi tended to yield higher ROUGE-L than CAS-Single. | 很多倾向于她的一个建议,它也是有效的 | CAS -Multi倾向于比CAS -Single产生更高的ROUGE -L。 | 0 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | So um we further find such constraint actually improves quite a lot for some models. | 我们进一步发现, 这些限制实际上得到了很大的 | 我们进一步发现,针对某些模型,这种约束实际上改善了很多。 | 40 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | We eventually ended up with one thousand one hundred and eight questions, each carefully labeled with the ids of the relevant articles from our large corpus of twenty two thousands and six hundred thirty three statutory articles. | 我们最终得到了一千一百八个问题,每一个都仔细地标记了有关文章的想法,从一大堆二十二千六百三十三条法定文章中。 | 我们最终得到了 10108 个问题,每个问题都仔细地标记了我们大型语料库的22633个法定条款中的相关条款的ID。 | 71 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | And then finally we obtain the expression representation q_1 divided by q_2. | 最后我们得到表达式表示Q1除以Q2. | 最后,我们得到表达式表达q_1除以q_2。 | 84 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | CEAS got a better ROUGE-L score than CAS suggesting that combining a classifier and a generator is effective on training the classifier using pseudo labels. | s 有一个比 G’s 更好的漏洞学校,这表明组合分类器和生成器在使用选择器训练分类器方面很有效。 | CEAS比CAS得到了更好的ROUGE-L分数,这表明将分类器和生成器结合在一起对使用伪标签训练分类器是有效的。 | 52 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Regarding evaluation, in some cases, release notes are output in multiple sentences. | 关于评估,在某些情况下,发布说明以多个句子输出. | 关于评估,在某些情况下,发行说明是以多个句子形式输出的。 | 54 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | So this makes the process more accurate. | 这使得这个过程更加精确. | 这使得这个过程更加准确。 | 88 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | And this is the main novelty of this paper and I will deep dive into it in the next slides. | 的特征提取阶段.我将在下一张幻灯片中深入探讨. | 这是本论文的主要新颖之处,我将在接下来的幻灯片中深入探讨。 | 100 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | With a limited applicability problem, we propose a high quality classwise summarization method using only commit messages as input. | 是有限的Precabati问题,我们提出了一种高党帽美化方法,只使用委员会信息作为不合格 | 面对适用性有限的问题,我们提出了一种只使用提交信息作为输入的高质量的分类总结方法。 | 66 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | By foiling a method previously applied for vision and language models only for noun phrases by Ravi Shekhar and collaborators, and on counting by us in previous work. | 通过FOILing, 一种先前仅用于视觉和语言模型的方法, | 通过干扰Ravi Shekhar和合作者以前只应用于视觉和语言模型的名词短语的方法,以及我们在之前工作中对计数的方法。 | 43 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | But this procedure is not perfect, it is just an indicator for valid foils. | 但这个程序并不完美。这只是有效箔纸的指标。 | 但这个过程并不完美,它只是一个有效干扰词的指标。 | 79 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | And around eighty percent of these cited articles come from either the civil code, judicial codes, criminal investigation codes or penal codes. | 大约80%的这些引用的文章来自民法典司法刑事调查法典或刑法典。 | 这些被引用的条款中约有80%来自民法典、司法法典、刑事调查法典或刑法典。 | 87 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | Then we gathered legal questions with references to relevant statutes. | 接下来,我们收集相关法规的法律问题. | 然后,我们参考相关法规收集了法律问题。 | 73 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | For those samples without unused quantities, so the overall performance is actually higher than the, the performance is actually higher than the overall performance. | 对于那些样本 没有使用数量。所以整体表现实际上比整体表现要高。 | 对于那些没有未使用数量的样本,其整体表现实际上高于整体表现。 | 70 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | When you finetune the language model over the n minus one datasets. | 当我们对n-1个数据集微调语言模型, | 当你在n减1数据集上微调语言模型时。 | 92 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | Why did we do the trouble in setting up this benchmark? | 我们为什么要设定这个基准? | 我们为什么要费尽心思设立这个基准呢? | 89 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | So the nice thing here is that we can easily add constraints to control this search this search space. | 这里的好处是, 我们可以很容易地添加约束, 来控制这个搜索空间。 | 这里的好处是我们可以轻松地添加约束条件,来控制这个搜索这个搜索空间。 | 100 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | We created a heuristic matching rule to get the previous and next versions. | 我们创建了一场暴风雨的好,以获得一个前我们的下一个人。 | 我们创建了一个启发式匹配规则来获取上一个和下一个版本。 | 42 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | Furthermore, CAS methods cannot generate accurate release notes without additional information. | thermore的方法不能生成准确的不是没有额 | 此外,如果没有额外的信息,CAS方法就无法生成准确的发行说明。 | 75 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | And the low score for this one? | null | 而这一个的低分呢? | 0 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | This extra information is not used in the present work, but might be of interest for future research on legal information retrieval or legal text classification. | 这些额外信息在当前工作中没有使用,但可能对未来法律信息检索或法律文本分类的研究感兴趣。 | 这些额外的信息未在当前工作中使用,但可能对今后关于法律信息检索或法律文本分类的研究有所帮助。 | 89 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | This difference in language distributions makes it harder for a system to retrieve relevant candidates, as it indirectly requires an inherent interpretation system that can translate a natural question to a legal question that matches the terminology of statutes. | 语言分布的这种差异使得系统难以获取相关候选人,因为它间接地需要一个固有的解释系统,可以将自然问题转换为与法规术语相匹配的法律问题.除 | 这种语言分布的差异使得系统更难检索到相关候选信息,因为它间接需要一个固有的解释系统,可以将自然问题翻译成与法规术语相匹配的法律问题。 | 60 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | And it samples a random batch from ah from the training set. | 它从训练集中抽取一个随机批量 | 它从训练集中随机抽取一批。 | 88 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | Using all datasets, we benchmarked several retrieval approaches, including lexical and dense architecture. | 使用所有数据集, 我们基准几种检索方法, 包括词汇和密集架构, | 使用所有数据集,我们对几种检索方法进行了基准测试,包括词汇和密集架构。 | 70 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | The BLEU is penalized when the system outputs a short sentence. | 当系统输出短句时, 蓝色会受到惩罚. | 当系统输出一个短句时,BLEU会受到惩罚。 | 53 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | So on the left hand side, we can see if we give some examples with just question and answers, we might not be able to obtain the correct answers. | 在颈部手侧, 我们可以看到,如果我们给一些样本 只是崩溃的答案, 我们可能无法得到正确的答案。 | 在左侧我们可以看到,如果我们给出一些只有问题和答案的例子,我们可能无法获得正确的答案。 | 70 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Since the dataset contains e-mail addresses, hashed values, etc, we also evaluated the cleaned dataset, which excludes them. | 由于日志包含电子邮件地址、胡桃等等,我们还详细阐述了排除它们的日志。 | 由于该数据集包含电子邮件地址、哈希值等内容,所以我们还评估了经过清理的数据集,其中不包括这些内容。 | 45 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Assume we have a tabular dataset and a knowledge base. | 假设我们有一个表格数据集和知识库, | 假设我们有一个表格数据集和一个知识库。 | 93 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | And here we also show the overall performance. | 这里我们还展示了整体表现。 | 在这里,我们还展示了整体表现。 | 73 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | First generate ah features in the number of classes of the original dataset. | fist 在原始数据集的类数中生成特征 | 首先,在原始数据集的类别数量中生成特征。 | 100 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | In this task, the direct correspondences between commit messages and release notes are not known. | 在这项任务。承诺信息和发布注释之间的直接对应是未知的。 | 在这项任务中,提交信息和发行说明之间的直接对应关系并不清楚。 | 70 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | If you're interested, do check out the VALSE data on GitHub, and if you have any questions do not hesitate to contact us. | 如果你有兴趣, 请在 GitHub 上查看阀门数据, 如果你有任何问题, 请毫不犹豫地联系我们。 | 如果您有兴趣,请查看GitHub上的VALSE数据。如果您有任何疑问,请随时与我们联系。 | 85 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | Our approach achieved six percent improvement. | 我们的偷猎器 实现了6%的改进。 | 我们的方法实现了6%的改进。 | 50 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | So here we show an examples where multi-step reasoning is helpful. | 在这里我们展示了模式步骤推理有用的例子,所以 | 在这里,我们展示了一个多步骤推理有帮助的例子。 | 87 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | Feature generation using another data source may add substantial information. | 使用另一个数据源)可能会增加大量信息。 | 使用另一个数据来源生成特征可能会增加大量的信息。 | 73 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | To do so, we partner with the Belgian law firm that receives each year around four thousand emails from Belgian citizens who ask for advice on a personal legal issue. | 为此,我们与一家比利时律师事务所合作,该律师事务所每年收到约4000封来自比利时公民的电子邮件,他们 | 为此,我们与比利时律师事务所合作,该事务所每年收到约4000封来自比利时公民的电子邮件,他们就个人法律问题征求意见。 | 70 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | So, FeSTE generates two new features. | 此FeSTE生成了两个新特性. | 所以,FeSTE生成两个特征。 | 92 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | At this time, it is necessary to detect the four labels that have been set up in advance. | 在这个时候,有必要检测四个标签已经预先设置. | 现在,有必要检测事先设置好的四个标签。 | 60 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | First we get the ah pair representation, which is basically just the concatenation between q_1 and q_2, and then we apply a feedforward network which is parameterized by the operator. | 首先我们得到对的代表性,这基本上只是一个和两个之间的连接,然后我们对由运营商预先定义的网络收费。 | 首先,我们得到配对表达,它基本上只是q_1和q_2之间的联结,然后我们应用一个由运算符参数化的前馈网络。 | 65 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | Or do they focus on biases as shown by previous work? | 还是专注于偏见? | 还是像之前的工作所显示的那样,他们专注于偏差? | 20 | 1 | ACL | 2,023 | multilingual | 2 |
en-zh | They also have trouble distinguishing actions and identifying their participants, even if supported by plausibility biases as we see in the actions piece. | 他们也难以区分行动并识别他们的参与者,即使我们在行动中看到的可信度偏见支持他们。 | 他们也很难区分动作和识别动作的参与者,即使像我们在动作这块看到的那样有合理性偏差的支持。 | 75 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | Which must be left to Jira, the issue tracker system, and can only be applied to projects that use Jira. | 它必须与发行生态系统 Jiro 挂钩,并且只能应用于使用 Jiro 的项目。 | 这必须留给问题跟踪器系统 JIRA ,并且只能应用于使用JIRA的项目。 | 71 | 1 | ACL | 2,023 | multilingual | 21 |
en-zh | We assume the precision of quantities are known. | 我们假定了已知的数量的准确性, | 我们假设数量的精确度是已知的。 | 56 | 1 | ACL | 2,023 | multilingual | 22 |
en-zh | Which must be left to Jira, the issue tracker system, and can only be applied to projects that use Jira. | 它必须与Jira,问题跟踪系统连接,并且只能应用于使用Jira的项目. | 这必须留给问题跟踪器系统 JIRA ,并且只能应用于使用JIRA的项目。 | 71 | 1 | ACL | 2,023 | multilingual | 2 |
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