Extracting Distinctive Vocabularies and Conceptual Categories from a Literary Text:

Extracting Social Networks from Literary Text with Word Embedding Tools

In this paper a social network is extracted from a literary text. The social network shows, how frequent the characters interact and how similar their social behavior is. Two types of similarity measures are used: the first applies co-occurrence statistics, while the second exploits cosine similarity on different types of word embedding vectors. The results are evaluated by a paid micro-task cr...

Extracting Social Networks from Literary Fiction

We present a method for extracting social networks from literature, namely, nineteenth-century British novels and serials. We derive the networks from dialogue interactions, and thus our method depends on the ability to determine when two characters are in conversation. Our approach involves character name chunking, quoted speech attribution and conversation detection given the set of quotes. W...

The Title of a Literary Text as a Discursive Phenomenon

Modern text linguistics pays serious attention to the significant structural elements of the text, which carry special knowledge. Such structural elements include the title. In this article, the title is considered as a linguistic and cognitive characteristic and a spatially fixed structural element of the text – «frame», which is located around/before/behind the text, focusing on the importanc...

Extracting Text from Proof

Extracting Text from PostScript

Finding structure in multiple streams of datais an important problem. Consider thestreams of data flowing from a robot’s sen-sors, the monitors in an intensive care unit,or periodic measurements of various indica-tors of the health of the economy. Thereis clearly utility in determining how currentand past values in those streams are relatedto future values. W...