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DC Field | Value | Language |
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dc.contributor.author | Ellul, Charlene | - |
dc.contributor.author | Azzopardi, Joel | - |
dc.contributor.author | Abela, Charlie | - |
dc.date.accessioned | 2022-03-21T11:13:09Z | - |
dc.date.available | 2022-03-21T11:13:09Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Ellul, C., Abela, C., & Azzopardi, J. (2018). Extracting information from medieval notarial deeds. 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW), Nancy, 25-28. | en_GB |
dc.identifier.issn | 16130073 | - |
dc.identifier.uri | http://ceur-ws.org/ | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/91882 | - |
dc.description.abstract | The Notarial Archives in Valletta houses a collection of Latin Notarial deeds that has not been exploited yet. In this paper, Machine Learning techniques are proposed and implemented to extract entities such as people, place names, dates, deed types and keywords from these historical texts. Both supervised and unsupervised techniques are considered and compared with baseline models. Experimental results on a subset of these documents are already showing results that outperform the baselines for Latin text such as those from CLTK. Evaluation was carried out using indexes of four published Notarial Registers. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | CEUR | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Knowledge representation (Information theory) | en_GB |
dc.subject | Machine learning -- Technique | en_GB |
dc.subject | Information visualization -- Malta | en_GB |
dc.subject | Notarial Archives (Valletta, Malta) | en_GB |
dc.subject | Manuscripts -- Data processing | en_GB |
dc.title | Extracting information from medieval notarial deeds | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | International Conference on Knowledge Engineering and Knowledge Management (EKAW) 2018 | en_GB |
dc.bibliographicCitation.conferenceplace | Nancy, France, 12-16/11/2018 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
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Extracting_information_from_medieval_notarial_deeds_2018.pdf | 313.52 kB | Adobe PDF | View/Open |
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