10 citations · 32 across the 7 of their papers we have counts for
7 papers
CoLe and LYS at BioASQ MESINESP8 Task: similarity based descriptor assignment in Spanish
Francisco J. Ribadas-Pena, Shuyuan Cao, Elmurod Kuriyozov
In this paper, we describe our participation in the MESINESP Task of the BioASQ biomedical semantic indexing challenge. The participating system follows an approach based solely on…
UzbekTagger: The rule-based POS tagger for Uzbek language
Maksud Sharipov, Elmurod Kuriyozov, Ollabergan Yuldashev +1
This research paper presents a part-of-speech (POS) annotated dataset and tagger tool for the low-resource Uzbek language. The dataset includes 12 tags, which were used to develop…
Text classification dataset and analysis for Uzbek language
Elmurod Kuriyozov, Ulugbek Salaev, Sanatbek Matlatipov +1
Text classification is an important task in Natural Language Processing (NLP), where the goal is to categorize text data into predefined classes. In this study, we analyse the data…
Uzbek Sentiment Analysis based on local Restaurant Reviews
Sanatbek Matlatipov, Hulkar Rahimboeva, Jaloliddin Rajabov +1
Extracting useful information for sentiment analysis and classification problems from a big amount of user-generated feedback, such as restaurant reviews, is a crucial task of natu…
A machine transliteration tool between Uzbek alphabets
Ulugbek Salaev, Elmurod Kuriyozov, Carlos Gómez-Rodríguez
Machine transliteration, as defined in this paper, is a process of automatically transforming written script of words from a source alphabet into words of another target alphabet w…
SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek language
Ulugbek Salaev, Elmurod Kuriyozov, Carlos Gómez-Rodríguez
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 semant…
Cross-Lingual Word Embeddings for Turkic Languages
Elmurod Kuriyozov, Yerai Doval, Carlos Gómez-Rodríguez
There has been an increasing interest in learning cross-lingual word embeddings to transfer knowledge obtained from a resource-rich language, such as English, to lower-resource lan…