Essays about: "Natural Language Processing"
Showing result 1 - 5 of 412 essays containing the words Natural Language Processing.
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1. Detecting inconsistencies of safety artifacts with Natural Language Processing Bachelor of Science Thesis
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This paper investigates a method that helps detect inconsistencies between safety-critical systems’ textual safety artifacts that safety cases rely on by involving NLP techniques. A design science research study was conducted in three iterations. I evaluate the method by conducting different experiments. READ MORE
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2. Detecting Dissimilarity in Discourse on Social Media
University essay from Uppsala universitet/Matematiska institutionenAbstract : A lot of interaction between humans take place on social media. Groups and communities are sometimes formed both with and without intention. These interactions generate a large quantity of text data. This project aims to detect dissimilarity in discourse between communities on social media using a distributed approach. READ MORE
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3. Few-shot Question Generation with Prompt-based Learning
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Question generation (QG), which automatically generates good-quality questions from a piece of text, is capable of lowering the cost of the manual composition of questions. Recently Question generation has attracted increasing interest for its ability to supply a large number of questions for developing conversation systems and educational applications, as well as corpus development for natural language processing (NLP) research tasks, such as question answering and reading comprehension. READ MORE
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4. Generation of Control Logic from Ordinary Speech
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Developments in automatic code generation are evolving remarkably fast, with companies and researchers competing to reach human-level accuracy and capability. Advancements in this field primarily focus on using machine learning models for end-to-end code generation. READ MORE
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5. Evaluating Cold-Start in Recommendation Systems Using a Hybrid Model Based on Factorization Machines and SBERT Embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The item cold-start problem, which describes the difficulty of recommendation systems in recommending new items to users, remains a great challenge for recommendation systems that rely on past user-item interaction data. A popular technique in the current research surrounding the cold-start problem is the use of hybrid models that combine two or more recommendation strategies that may contribute with their individual advantages. READ MORE
