基于递归网络的文本表征
Text characterization based on recurrence networks
AI总结：
本研究提出基于递归网络的介观文本表征方法，利用词性间递归关系构建网络，通过可达性、对称性和递归签名区分虚构与非虚构体裁，并在300本书上验证了有效性。
摘要：
若干复杂系统的特征在于其呈现出在多个时间和空间尺度上发生的复杂特性。这些多尺度表征被应用于各种场景，包括更好地理解疾病、表征交通系统以及城市之间的比较等。特别是，文本也以层级结构为特征，可以通过使用多尺度概念和方法来加以处理。文本的多尺度特性是一个值得进一步研究的课题。此外，通过强调具有潜在更多信息内容的词语，可以获得更有效的文本表征和分析方法。本研究旨在发展这些可能性，同时聚焦于网络的介观表示。具体而言，我们采用介观方法的扩展来表示文本叙事，其中仅考虑词性标注部分（主语、动词和直接宾语）之间的递归关系来建立连续文本片段（如段落）之间的连接。随后，通过考虑尺度依赖的互补方法来实现文本的表征：可达性、对称性和递归签名。为了评估这些概念和方法的潜力，我们处理了区分文学体裁（虚构类和非虚构类）的问题。我们选取了按这两种体裁组织的300本书籍，并使用上述方法进行比较。所有方法都能在一定程度上区分这两种体裁。可达性和对称性反映了叙事的不对称性，而递归签名则更直接地指示了叙事过程中发生的非顺序语义连接。
英文摘要：
Several complex systems are characterized by presenting intricate characteristics taking place at several scales of time and space. These multiscale characterizations are used in various applications, including better understanding diseases, characterizing transportation systems, and comparison between cities, among others. In particular, texts are also characterized by a hierarchical structure that can be approached by using multi-scale concepts and methods. The multiscale properties of texts constitute a subject worth further investigation. In addition, more effective approaches to text characterization and analysis can be obtained by emphasizing words with potentially more informational content. The present work aims at developing these possibilities while focusing on mesoscopic representations of networks. More specifically, we adopt an extension to the mesoscopic approach to represent text narratives, in which only the recurrent relationships among tagged parts of speech (subject, verb and direct object) are considered to establish connections among sequential pieces of text (e.g., paragraphs). The characterization of the texts was then achieved by considering scale-dependent complementary methods: accessibility, symmetry and recurrence signatures. In order to evaluate the potential of these concepts and methods, we approached the problem of distinguishing between literary genres (fiction and non-fiction). A set of 300 books organized into the two genres was considered and were compared by using the aforementioned approaches. All the methods were capable of differentiating to some extent between the two genres. The accessibility and symmetry reflected the narrative asymmetries, while the recurrence signature provided a more direct indication about the non-sequential semantic connections taking place along the narrative.
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