Essays about: "word vectors"
Showing result 21 - 25 of 34 essays containing the words word vectors.
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21. Text feature mining using pre-trained word embeddings
University essay from KTH/Matematisk statistikAbstract : This thesis explores a machine learning task where the data contains not only numerical features but also free-text features. In order to employ a supervised classifier and make predictions, the free-text features must be converted into numerical features. In this thesis, an algorithm is developed to perform that conversion. READ MORE
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22. Semantic Text Matching Using Convolutional Neural Networks
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Semantic text matching is a fundamental task for many applications in NaturalLanguage Processing (NLP). Traditional methods using term frequencyinversedocument frequency (TF-IDF) to match exact words in documentshave one strong drawback which is TF-IDF is unable to capture semanticrelations between closely-related words which will lead to a disappointingmatching result. READ MORE
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23. On High-Dimensional Transformation Vectors
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : .... READ MORE
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24. Topic discovery and document similarity via pre-trained word embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Throughout the history, humans continue to generate an ever-growing volume of documents about a wide range of topics. We now rely on computer programs to automatically process these vast collections of documents in various applications. Many applications require a quantitative measure of the document similarity. READ MORE
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25. Natural Language Processing in Artificial Neural Networks: Sentence analysis in medical papers
University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field of Natural Language Processing (NLP) during the last years. In this project, CNNs are used on top of the Word2Vec word representation for a sentence classification task on medical research articles. READ MORE