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Работы, на которые ссылается эта работа

Работ: 12

Работа: A comparative study of annotation schemes for named entity recognition in Uzbek legal texts

  1. Predicting students’ future final exam results using machine learning algorithms: A comparative analysis

    Soxobiddin Akhatkulov, O.R. Yusupov, Alisher Omonov

    СтатьяOnline Learning and AnalyticsAIP conference proceedings2024Цитирований: 29
    ABI

  2. Dataset of stopwords extracted from Uzbek texts

    Khabibulla Madatov, Shukurla Bekchanov, Jernej Vičič

    СтатьяNatural Language Processing TechniquesData in Brief2022Цитирований: 26
    ABI

  3. Developing named entity recognition algorithms for Uzbek: Dataset insights and implementation

    Davlatyor Mengliev, Vladimir Barakhnin, Nilufar Abdurakhmonova +1

    СтатьяNatural Language Processing TechniquesData in Brief2024Цитирований: 19
    ABI

  4. Algorithm of decision trees ensemble for sentiment analysis of Uzbek text

    Ilyos Rabbimov, O.R. Yusupov, Sami Kobilov

    Глава2023Цитирований: 18
    ABI

  5. Development of a Legal Document Recognition Algorithm for the Karakalpak Language

    Davlatyor Mengliev, Vladimir Barakhnin, Mukhriddin Eshkulov +3

    СтатьяE-commerce and Technology Innovations2024Цитирований: 16
    ABI

  6. Advancing Karakalpak Linguistics with Dictionary-Based Morphological Analysis: Implications for Text Correction Systems

    Davlatyor Mengliev, Vladimir Barakhnin, Nodirbek Boltayev +3

    СтатьяLinguistics and Cultural Studies2024Цитирований: 14
    ABI

  7. A Computational Approach to Recognizing Poetry Genres in Uzbek Texts

    Davlatyor Mengliev, Vladimir Barakhnin, Bobur R. Saidov +3

    СтатьяTranslation Studies and Practices2024Цитирований: 14
    ABI

  8. Uzbek News Categorization using Word Embeddings and Convolutional Neural Networks

    Ilyos Rabbimov, Sami Kobilov, Iosif Mporas

    СтатьяText and Document Classification Technologies2020Цитирований: 12
    ABI

  9. Towards Effective Named Entity Recognition in Uzbek Medical Contexts

    Davlatyor Mengliev, Vladimir Barakhnin, Barno S. Samandarova +3

    СтатьяTopic Modeling2024Цитирований: 10
    ABI

  10. Representing text chunks

    Erik F. Tjong Kim Sang, Jorn Veenstra

    Статья1999Цитирований: 10
    ABI

  11. Opinion Classification via Word and Emoji Embedding Models with LSTM

    Ilyos Rabbimov, Sami Kobilov, Iosif Mporas

    ГлаваSentiment Analysis and Opinion MiningLecture notes in computer science2021Цитирований: 8
    ABI

  12. GENDER-POLITE VOCABULARY OF RUSSIAN AND UZBEK LANGUAGES

    Natavan Ramazanova

    СтатьяGender Studies in LanguageInternational Journal of Innovations in Engineering Research and Technology2024Цитирований: 1
    ABI