Historical Relevance Feedback Detection by Text Re-use Networks
Bibliographic Data
| ID | 10259508 |
|---|---|
| Authors | Marco Büchler (Leipzig University, corresponding author), Gregory Crane (0000-0001-6847-2811, Tufts University, corresponding author), Gerhard Heyer (0000-0002-0442-392X, Leipzig University, corresponding author) |
| Year | 2013 |
| Volume | 46 |
| Issue | 3 |
| Pages | 276-276 |
| Publication date | 2013-06-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leonardo (JOURNAL) |
| Journal identifiers | ISSN: 0024-094X • E-ISSN: 1530-9282 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/leon_a_00572 |
| OpenAlex | W2162016047 |
| Language | EN |
Text re-use has been in the humanist's interest for centuries. Collecting parallel texts implies giving a certain information, e.g. a moral statement or report on wars and conflicts, a kind of witness. The more independent parallel texts are collected, the more feasible the information is. The contribution reported here is on automatic detection of text re-use and the usage of a text re-use network to derive a Cultural Heritage Aware PageRank technique given ancient text re-uses like quotations, paraphrases, and allusions
Epistemology · Humanism · Information retrieval · PageRank · Political science · Programming language · Relevance (law) · Statement (logic) · Witness · Artificial Intelligence · Computer Science · Law · Natural Language Processing Techniques · Philosophy · Semantic Web and Ontologies · Topic Modeling
| Highly cited | No |
|---|