Dissertation/ Thesis
Embedding Techniques for Natural Language Tasks
العنوان: | Embedding Techniques for Natural Language Tasks |
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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 |
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