abstractive

简明释义

英[æbˈstræktɪv]美[æbˈstræktɪv]

adj. 摘要式的；具有抽象能力的

英英释义

单词用法

同义词

反义词

例句

1.It will be beneficial for your social activities if you are good-looking, because your good appearance makes you more abstractive.

如果你长得好看，这会对你的社交活动很有帮助，因为你会显得很有魅力。

2.We are looking for the new expression of life and art, trying to turn the abstractive beauty into the concrete things.

我们一直在寻求新的艺术与生活的表达方式，尽可能将它的抽象美转化为具象的实在。

3.In abstractive, personal information data is an identical attribute system, which is connected with certain individual to represent the individual characteristics.

抽象的说，个人信息资料是指与特定个人相关联的反映个体特征的具有可识别性的符号系统。

4.Methods of time complexity analysis are usually based on abstractive algorithms, rather than actual programs.

对于运行时间而言，常用的时间复杂度分析技术基于的是抽象的算法，并非实际程序。

5.The course of abstract and generalize is just the course of managing the abstractive thinking, and is also the course of form our art languages and art symbols.

提炼、概括的过程是抽象思维的过程，也是形成语言、产生艺术符号的过程。

6.As a result, the difficulty in understanding this abstractive problem can be made lessened.

从而降低了理解这一抽象问题的难度。

7.China drama is well known as a comprehensive art for its abstractive and stylize performance way contrary to its integrity and audience consciousness.

中国戏剧作为一门综合艺术 ，其虚拟性和程式化表演方式是尽人皆知的 ，但完整性及观众意识 ，却鲜为人提及。

8.In abstractive, personal information data is an identical attribute system, which is connected with certain individual to represent the individual characteristics.

抽象的说，个人信息资料是指与特定个人相关联的反映个体特征的具有可识别性的符号系统。

9.In art, abstractive styles can evoke emotions without representing real-world objects.

在艺术中，抽象的风格可以在不代表现实世界物体的情况下唤起情感。

10.Her abstractive thinking allows her to see connections between seemingly unrelated ideas.

她的抽象的思维使她能够看到看似无关的想法之间的联系。

11.In machine learning, abstractive techniques often require more complex algorithms than extractive ones.

在机器学习中，抽象的技术通常比提取性技术需要更复杂的算法。

12.The researcher developed an abstractive summarization model to condense long articles into concise summaries.

研究人员开发了一种抽象的摘要模型，将长文章浓缩成简明的摘要。

13.The movie's plot was quite abstractive, leaving viewers to interpret the meaning behind the visuals.

这部电影的情节相当抽象的，让观众自行解读视觉背后的意义。

作文

In the realm of artificial intelligence and natural language processing, the term abstractive (抽象的) plays a crucial role in understanding how machines can generate human-like text. Unlike extractive methods that merely pull phrases from existing content, abstractive techniques aim to create new sentences that summarize or paraphrase the original material. This distinction is essential for various applications, including summarization, translation, and content generation.To illustrate the significance of abstractive methods, consider the task of summarizing a lengthy article. An extractive summary might simply list key sentences from the text, maintaining the original wording. While this approach can be effective, it often fails to capture the overall essence or main ideas of the article. In contrast, an abstractive summary would involve rephrasing and synthesizing information to produce a coherent overview that reflects the core message without relying on verbatim excerpts.The development of abstractive summarization models has advanced significantly in recent years, thanks to innovations in deep learning and neural networks. Researchers have been working on creating algorithms that can understand context and semantics, enabling them to generate summaries that are not only concise but also meaningful. For example, models like the Transformer architecture have revolutionized the field by allowing for better handling of long-range dependencies in text, which is crucial for understanding complex narratives.One of the challenges with abstractive summarization is ensuring that the generated content remains accurate and relevant. There is a risk that the model may introduce inaccuracies or omit critical information when attempting to paraphrase. To mitigate this issue, researchers are exploring various strategies, such as reinforcement learning and attention mechanisms, to enhance the quality of the output.Moreover, the application of abstractive techniques extends beyond summarization. In machine translation, for instance, abstractive approaches can lead to more fluent and natural translations by allowing the system to rephrase sentences rather than just translating them word-for-word. This flexibility is particularly beneficial when dealing with idiomatic expressions or culturally specific references that do not have direct equivalents in other languages.In conclusion, the concept of abstractive (抽象的) processing is vital for advancing artificial intelligence's capabilities in understanding and generating human language. As technology continues to evolve, the effectiveness of abstractive methods will likely improve, leading to more sophisticated applications in various fields. The journey towards achieving truly intelligent systems that can communicate with us in a meaningful way is ongoing, and the exploration of abstractive techniques is a significant part of that journey.

在人工智能和自然语言处理领域，术语abstractive（抽象的）在理解机器如何生成类似人类文本方面发挥着至关重要的作用。与仅从现有内容中提取短语的提取方法不同，abstractive技术旨在创建新的句子，以总结或改写原始材料。这种区别对于各种应用程序，包括摘要、翻译和内容生成，至关重要。为了说明abstractive方法的重要性，考虑一下对一篇冗长文章进行总结的任务。提取摘要可能只是列出文本中的关键句子，保持原始措辞。虽然这种方法可能有效，但它往往无法捕捉文章的整体本质或主要思想。相比之下，abstractive摘要将涉及重新措辞和综合信息，以产生一个连贯的概述，反映核心信息，而不依赖于逐字摘录。近年来，abstractive摘要模型的发展取得了显著进展，这要归功于深度学习和神经网络的创新。研究人员一直在努力创建能够理解上下文和语义的算法，使其能够生成不仅简洁而且有意义的摘要。例如，Transformer架构等模型通过允许更好地处理文本中的长距离依赖关系，彻底改变了该领域，这对于理解复杂叙事至关重要。abstractive摘要面临的挑战之一是确保生成的内容保持准确和相关。模型在试图改写时可能引入不准确性或遗漏关键信息，因此存在风险。为了减轻这一问题，研究人员正在探索各种策略，例如强化学习和注意机制，以提高输出质量。此外，abstractive技术的应用超出了摘要。在机器翻译中，abstractive方法可以通过允许系统改写句子而不是逐字翻译，从而导致更流畅和自然的翻译。当处理没有直接对应词的习惯用语或文化特定参考时，这种灵活性特别有益。总之，abstractive（抽象的）处理的概念对于推动人工智能在理解和生成自然语言方面的能力至关重要。随着技术的不断发展，abstractive方法的有效性可能会提高，从而在各个领域产生更复杂的应用程序。实现能够以有意义的方式与我们交流的真正智能系统的旅程仍在继续，而对abstractive技术的探索是这段旅程的重要组成部分。