This paper describes a small but unique digitized collection of medieval Latin charters. This collection consists of 57 charters of 7 types illustrating various purposes of issuance by the Royal Chancellery. Sections in these documents were manually annotated for deeper analysis of the structure of issued charters. This paper also describes two baseline methods for an automatic and semi-automatic analysis and detection of sections of diplomatic documents. The first method is based on an information retrieval paradigm, and the second one is an adaptation of Hidden Markov Models. Both methods were proposed to work with respect to a small amount of available train data. Even though these methods were specifically proposed to work with medieval Latin charters, they can be applied to any documents with partially repetitive character.
@InProceedings{GALUSCAKOVA18.999, author = {Petra Galuscakova and Lucie Neuzilova}, title = "{Low Resource Methods for Medieval Document Sections Analysis}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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