Mapping the Bentham Corpus: Concept-based Navigation

British philosopher and reformer Jeremy Bentham (1748-1832) left over 60,000 folios of unpublished manuscripts. The Bentham Project, at University College London, is creating a TEI version of the manuscripts, via crowdsourced transcription verified by experts. We present here an interface to navigat...

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Bibliographische Detailangaben
Veröffentlicht in:Journal of data mining and digital humanities Jg. Atelier Digit_Hum; H. Data deluge: which skills for...
Hauptverfasser: Ruiz Fabo, Pablo, Poibeau, Thierry
Format: Journal Article
Sprache:Englisch
Veröffentlicht: INRIA 06.03.2019
Nicolas Turenne
Schlagworte:
[info.info-cl]computer science [cs]/computation and language [cs.cl]
[shs.langue]humanities and social sciences/linguistics
[shs.phil]humanities and social sciences/philosophy
Computation and Language
Computer Science
corpus navigation
entity linking
Humanities and Social Sciences
jeremy bentham
keyphrase extraction
Linguistics
Philosophy
keyphrase extraction
manuscripts
corpus navigation
Jeremy Bentham
entity linking
ISSN:2416-5999, 2416-5999
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:British philosopher and reformer Jeremy Bentham (1748-1832) left over 60,000 folios of unpublished manuscripts. The Bentham Project, at University College London, is creating a TEI version of the manuscripts, via crowdsourced transcription verified by experts. We present here an interface to navigate these largely unedited manuscripts, and the language technologies the corpus was enriched with to facilitate navigation, i.e Entity Linking against the DBpedia knowledge base and keyphrase extraction. The challenges of tagging a historical domain-specific corpus with a contemporary knowledge base are discussed. The concepts extracted were used to create interactive co-occurrence networks, that serve as a map for the corpus and help navigate it, along with a search index. These corpus representations were integrated in a user interface. The interface was evaluated by domain experts with satisfactory results , e.g. they found the distributional semantics methods exploited here applicable in order to assist in retrieving related passages for scholarly editing of the corpus.
ISSN:2416-5999
2416-5999
DOI:10.46298/jdmdh.5044