Abstract
The study of Sumerian texts often requires domain experts to examine a vast number of tables. However, the absence of user-friendly tools for this process poses challenges and consumes significant time. In addressing this issue, we introduce an open-source library that empowers domain experts with minimal technical expertise to automate manual and repetitive tasks using a no-code dashboard. Our library includes an information extraction module that enables the automatic extraction of names and relations based on the user-defined lists of name tags and relation types. By utilizing the tool to facilitate the creation of knowledge graphs which is a data representation method offering insights into the relationships among entities in the data, we demonstrate its practical application in the analysis of Sumerian texts.- Anthology ID:
- 2023.alp-1.16
- Volume:
- Proceedings of the Ancient Language Processing Workshop
- Month:
- September
- Year:
- 2023
- Address:
- Varna, Bulgaria
- Editors:
- Adam Anderson, Shai Gordin, Bin Li, Yudong Liu, Marco C. Passarotti
- Venues:
- ALP | WS
- SIG:
- Publisher:
- INCOMA Ltd., Shoumen, Bulgaria
- Note:
- Pages:
- 133–137
- Language:
- URL:
- https://aclanthology.org/2023.alp-1.16
- DOI:
- Cite (ACL):
- Hansel Guzman-Soto and Yudong Liu. 2023. Introducing an Open Source Library for Sumerian Text Analysis. In Proceedings of the Ancient Language Processing Workshop, pages 133–137, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
- Cite (Informal):
- Introducing an Open Source Library for Sumerian Text Analysis (Guzman-Soto & Liu, ALP-WS 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2023.alp-1.16.pdf