Abstract
UKB is an open source collection of programs for performing, among other tasks, Knowledge-Based Word Sense Disambiguation (WSD). Since it was released in 2009 it has been often used out-of-the-box in sub-optimal settings. We show that nine years later it is the state-of-the-art on knowledge-based WSD. This case shows the pitfalls of releasing open source NLP software without optimal default settings and precise instructions for reproducibility.- Anthology ID:
- W18-2505
- Volume:
- Proceedings of Workshop for NLP Open Source Software (NLP-OSS)
- Month:
- July
- Year:
- 2018
- Address:
- Melbourne, Australia
- Editors:
- Eunjeong L. Park, Masato Hagiwara, Dmitrijs Milajevs, Liling Tan
- Venue:
- NLPOSS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 29–33
- Language:
- URL:
- https://aclanthology.org/W18-2505
- DOI:
- 10.18653/v1/W18-2505
- Cite (ACL):
- Eneko Agirre, Oier López de Lacalle, and Aitor Soroa. 2018. The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD. In Proceedings of Workshop for NLP Open Source Software (NLP-OSS), pages 29–33, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD (Agirre et al., NLPOSS 2018)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/W18-2505.pdf