A Named Entity-Annotated Corpus of 19th Century Classical Commentaries

Matteo Romanello; Sven Najem-Meyer

doi:10.5334/johd.150

Abstract

We release a multilingual named entity (NE) corpus of 19^th century commentaries to Sophocles’ Ajax. Selected commentaries are written in English, German and French, but are also replete with Latin and Greek quotes. Bibliographic entities were annotated along traditional named entities following our guidelines (Romanello & Najem-Meyer, 2022). The corpus contains about 300 annotated pages, 111,216 tokens and 7,334 entity mentions and was featured in the HIPE-2022 shared task. Although named entity recognition (NER) showed reassuring results, optical character recognition (OCR) mistakes and extensive use of abbreviation kept entity linking (EL) a challenging task. With such characteristics, this corpus offers an excellent way to assess the adaptability of information extraction systems to noisy, domain-specific multilingual and multiscript environments.

References

1Colavizza, G., & Romanello, M. (2017, November). Annotated References in the Historiography on Venice: 19^th–21^st centuries. Journal of Open Humanities Data, 3, 2. DOI: 10.5334/johd.9
Back to article
2Colavizza, G., & Romanello, M. (2019). Citation Mining of Humanities Journals: The Progress to Date and the Challenges Ahead. Journal of European Periodical Studies, 4. DOI: 10.21825/jeps.v4i1.10120
Back to article
3Ehrmann, M., Hamdi, A., Pontes, E. L., Romanello, M., & Doucet, A. (2023, June). Named Entity Recognition and Classification in Historical Documents: A Survey. ACM Computing Surveys. DOI: 10.1145/3604931
Back to article
4Ehrmann, M., Romanello, M., Najem-Meyer, S., Doucet, A., & Clematide, S. (2022). Extended overview of HIPE-2022: Named Entity Recognition and Linking in Multilingual Historical Documents. In G. Faggioli, N. Ferro, A. Hanbury & M. Potthast (Eds.), Proceedings of the Working Notes of CLEF 2022 – Conference and Labs of the Evaluation Forum (Vol. 3180). CEUR-WS. DOI: 10.1007/978-3-031-13643-6_26
Back to article
5Hamacher, M., & Zesch, T. (2022, September). INCEpTALYTICS – An easy-to-use API for analyzing INCEpTION annotation projects. Retrieved from https://github.com/catalpa-cl/inceptalytics. DOI: 10.5281/zenodo.5654690
Back to article
6Klie, J.-C., Bugert, M., Boullosa, B., de Castilho, R. E., & Gurevych, I. (2018). The inception platform: Machine-assisted and knowledge-oriented interactive annotation. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations (pp. 5–9). Retrieved from https://aclanthology.org/C18-2002
Back to article
7Romanello, M., & Najem-Meyer, S. (2022, March). Guidelines for the annotation of named entities in the domain of classics [Documentation]. DOI: 10.5281/zenodo.6368101
Back to article
8Romanello, M., Najem-Meyer, S., & Robertson, B. (2021, September). Optical Character Recognition of 19th Century Classical Commentaries: The Current State of Affairs. In The 6th International Workshop on Historical Document Imaging and Processing (HIP ’21). Lausanne: Association for Computing Machinery. DOI: 10.1145/3476887.3476911
Back to article
9Schweter, S., März, L., Schmid, K., & Çano, E. (2022, September). hmBERT: Historical Multilingual Language Models for Named Entity Recognition. In G. Faggioli, N. Ferro, A. Hanbury & M. Potthast (Eds.), Proceedings of the Working Notes of CLEF 2022 – Conference and Labs of the Evaluation Forum (Vol. 3180, pp. 1109–1129). Bologna, Italy: CEUR. Retrieved from https://ceur-ws.org/Vol-3180/paper-87.pdf
Back to article

A Named Entity-Annotated Corpus of 19th Century Classical Commentaries

Abstract

Paradigm

My account