Essays about: "Intent classification"
Showing result 1 - 5 of 26 essays containing the words Intent classification.
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1. A COMPARATIVE ANALYSIS OF NLP ALGORITHMS FOR IMPLEMENTING AI CONVERSATIONAL ASSISTANTS : Comparative Analysis of NLP Algorithms for NLI
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The rapid adoption of low-code/no-code software systems has reshaped the landscape of software development, but it also brings challenges in usability and accessibility, particularly for those unfamiliar with the specific components and templates of these platforms. This thesis targets improving the developer experience in Nokia Corporation's low-code/no-code software system for network management through the incorporation of Natural Language Interfaces (NLIs) using Natural Language Processing (NLP) algorithms. READ MORE
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2. ElektroCHAT: A Knowledge Base-Driven Dialogue System for Electrical Engineering Students : A Proposal for Interactive Tutoring
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate the situation. READ MORE
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3. EVALUATING CONFIDENCE ESTIMATION IN NLU FOR DIALOGUE SYSTEMS
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : Background: Natural Language Understanding (NLU) is an important component in Dialogue Systems (DS) which makes the utterances of humans understandable by machines. A central aspect of NLU is intent classification. READ MORE
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4. Evaluation of the performance of machine learning techniques for email classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. READ MORE
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5. Comparison of Distance Metrics for Trace Clustering in Process Mining : An Effort to Simplify Analysis of Usage Patterns in PACS
University essay from Linköpings universitet/Programvara och systemAbstract : This study intended to validate if clustering could be used to simplify models generated with process mining. The intention was also to see if these clusters could suggest anything about user efficiency. To that end a new metric where devised, average mean duration deviation. READ MORE