# SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek language

arXiv: https://arxiv.org/abs/2205.06072 · HTML: https://mlsanity.com/paper/2205.06072/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- Builds on 7 of its 35 references that are in the map.
- First posted on arXiv 12 May 2022.

## Builds on (most cited first, 7 of 7)

- [Neural Machine Translation by Jointly Learning to Align and Translate](https://mlsanity.com/paper/1409.0473/) (2014)
- [SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation](https://mlsanity.com/paper/1408.3456/) (2014)
- [Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity](https://mlsanity.com/paper/2003.04866/) (2020)
- [Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments](https://mlsanity.com/paper/2008.00482/) (2020)
- [UzBERT: pretraining a BERT model for Uzbek](https://mlsanity.com/paper/2108.09814/) (2021)
- [Uzbek Cyrillic-Latin-Cyrillic Machine Transliteration](https://mlsanity.com/paper/2101.05162/) (2021)
- [Separated by an Un-common Language: Towards Judgment Language Informed Vector Space Modeling](https://mlsanity.com/paper/1508.00106/) (2015)

## Built on by (most cited first, 10 of 10)

- [Recent Advancements and Challenges of Turkic Central Asian Language Processing](https://mlsanity.com/paper/2407.05006/) (2024)
- [Uzbek Sentiment Analysis based on local Restaurant Reviews](https://mlsanity.com/paper/2205.15930/) (2022)
- [Accuracy of the Uzbek stop words detection: a case study on "School corpus"](https://mlsanity.com/paper/2209.07053/) (2022)
- [Text classification dataset and analysis for Uzbek language](https://mlsanity.com/paper/2302.14494/) (2023)
- [UzbekTagger: The rule-based POS tagger for Uzbek language](https://mlsanity.com/paper/2301.12711/) (2023)
- [Creating a morphological and syntactic tagged corpus for the Uzbek language](https://mlsanity.com/paper/2210.15234/) (2022)
- [Design and Implementation of a Tool for Extracting Uzbek Syllables](https://mlsanity.com/paper/2312.15779/) (2023)
- [Uzbek text summarization based on TF-IDF](https://mlsanity.com/paper/2303.00461/) (2023)
- [Uzbek text's correspondence with the educational potential of pupils: a case study of the School corpus](https://mlsanity.com/paper/2303.00465/) (2023)
- [UzMorphAnalyser: A Morphological Analysis Model for the Uzbek Language Using Inflectional Endings](https://mlsanity.com/paper/2405.14179/) (2024)

## Abstract (arXiv)

Semantic relatedness between words is one of the core concepts in natural language processing, thus making semantic evaluation an important task. In this paper, we present a semantic model evaluation dataset: SimRelUz - a collection of similarity and relatedness scores of word pairs for the low-resource Uzbek language. The dataset consists of more than a thousand pairs of words carefully selected based on their morphological features, occurrence frequency, semantic relation, as well as annotated by eleven native Uzbek speakers from different age groups and gender. We also paid attention to the problem of dealing with rare words and out-of-vocabulary words to thoroughly evaluate the robustness of semantic models.