1.
Enhancing and Extending the Digital Study of
Intertextuality (pt. 2)
Matteo Romanello (DAI/KCL) @mr56k
“Making Meaning from Data” DCA Panel @ SCS annual
meeting, New Orleans–January 11, 2015

2.
Digital Study of Intertextuality
Enhancing and Extending the Digital Study of Intertextuality:
1. finding new possible parallel passages

3.
Digital Study of Intertextuality
Enhancing and Extending the Digital Study of Intertextuality:
1. finding new possible parallel passages
2. creating a systematic index of already studied parallels

4.
The Classicist’s Toolkit
Tool Accuracy Granularity Coverage
Indexes Locorum + + –
Library Catalogues + – –
Full-text Search – – +
Automatic Citation Indexing +/– + +

5.
Citation Extraction: Step 1, (Named Entity Recognition)
Current accuracy (F1-score): 73,88%

6.
Citation Extraction Step 2: (Relation Detection)
Current accuracy (F1-score): 92,60%

7.
Citation Extraction Step 3: (Disambiguation)
Current accuracy (F1-score): 73,05%

8.
Mining Citations from APh and JSTOR
APh
80 volumes
8 % of vol. 75 (2004)
366 abstracts
26k tokens
380 citations
JSTOR
Classics
1,456 journals
171k articles
327m tokens
Materiali e Discussioni (29 yrs: 1978-2006)
669 articles
5.6m tokens
40k citations

9.
From Index to Network

10.
From Texts to Network

11.
APh: Micro-level

12.
APh: Macro-level

13.
APh: Meso-level

14.
JSTOR: diachronic trends in MD (1978-2006)
Diachronic trends of 5 most cited authors in MD (1978-2006)

15.
Digital Study of Intertextuality: Future Work
Combination of:
discovery of new possible parallel passages
systematic index of already studied parallels
Scenario:
use of the parallel frequency for ranking automatically
identified candidates

16.
Thank you for your attention!
Questions?
matteo.romanello@gmail.com
https://twitter.com/mr56k
Some Links:
http://phd.mr56k.info/data/viz/macro.html
http://phd.mr56k.info/data/viz/meso.html
http://phd.mr56k.info/data/viz/micro.html
https://github.com/mromanello/APh_Corpus
https://github.com/mromanello/CRefEx