Dissertation/ Thesis

Embedding Techniques for Natural Language Tasks

التفاصيل البيبلوغرافية
العنوان: Embedding Techniques for Natural Language Tasks
المؤلفون: Pandey Vikas
المساهمون: Istenes Zoltán, Grad-Gyenge László György
سنة النشر: 2020
المجموعة: Eötvös Loránd University: ELTE Digital Institutional Repository (EDIT) / Eötvös Loránd Tudományegyetem
مصطلحات موضوعية: embedding techniques, word2vec, természetes nyelvek feldolgozása - mestrséges intelligencia - informatika, szövegfeldolgozás, Az információ-visszakeresés, szakdolgozat
الوصف: INST: L_042 ; The goal of the thesis is to investigate the scientific literature for embedding models and techniques, implement these models and tune them. The developed models are also to be evaluated in the frames of the thesis work.
نوع الوثيقة: master thesis
وصف الملف: application/pdf; application/octet-stream
اللغة: English
Relation: http://hdl.handle.net/10831/56250; elte:I11Z6U; LOMS: https://edit.elte.hu/xmlui/bitstream/10831/56250/2/1082350777_001.pdf; LOMS: https://edit.elte.hu/xmlui/bitstream/10831/56250/3/1082350777_002.rar
الاتاحة: http://hdl.handle.net/10831/56250
Rights: info:eu-repo/semantics/restrictedAccess
رقم الانضمام: edsbas.8B461380
قاعدة البيانات: BASE