# The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD

arXiv: https://arxiv.org/abs/1805.04277 · HTML: https://mlsanity.com/paper/1805.04277/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 May 2018.

## Built on by (most cited first, 4 of 4)

- [A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph](https://mlsanity.com/paper/2101.02875/) (2021)
- [EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses](https://mlsanity.com/paper/2103.00232/) (2021)
- [Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets](https://mlsanity.com/paper/2107.00333/) (2021)
- [Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation](https://mlsanity.com/paper/2107.01540/) (2021)

## Abstract (arXiv)

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.