From Networks to Named Entities and Back Again: Exploring Classical Arabic Isnad Networks
This paper explores new methods for disambiguating the identity of individuals in classical Arabic citations (isnāds) using a network-based approach. After training a model to extract name mentions from classical Arabic, we embed these mentions in vector space using fine-tuned BERT representations a...
| Subtitles: | Mit arabischen Schriftzeichen im Text |
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| Main Author: | |
| Contributors: | ; |
| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | |
| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Published: |
2023
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| In: |
Journal of historical network research
Year: 2023, Volume: 8, Pages: 1-20 |
| Further subjects: | B
Hadith
B name disambiguation B Natural Language Processing B Network Analysis |
| Online Access: |
Volltext (kostenfrei) Volltext (kostenfrei) |
| Summary: | This paper explores new methods for disambiguating the identity of individuals in classical Arabic citations (isnāds) using a network-based approach. After training a model to extract name mentions from classical Arabic, we embed these mentions in vector space using fine-tuned BERT representations and use community detection to infer clusters of coreferent mentions. The best-performing clustering approach reduces error on the CoNLL metric by 30%. Then, as a case study, we examine the problem of determining the number of direct transmitters to Ibn ʿAsākir (d. 1176) in a set of isnāds taken from the 12th century historical text Taʾrīkh Madīnat Dimashq (TMD, History of Damascus), using our method to replicate human judgement. |
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| ISSN: | 2535-8863 |
| Contains: | Enthalten in: Journal of historical network research
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| Persistent identifiers: | DOI: 10.25517/jhnr.v8i1.135 |