Essays about: "document classification"
Showing result 1 - 5 of 77 essays containing the words document classification.
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1. END-OF-LIFE FOR A QUARRY, WHAT IS THE ENVIRONMENTAL IMPACT?
University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskapAbstract : Aggregates products are the largest non-energy mining industry in the world, which is the most extracted materials after water. The most prevalent source of aggregates is from quarries, or mines that target the rock itself. READ MORE
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2. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. READ MORE
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3. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. READ MORE
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4. Automated Extraction of Insurance Policy Information : Natural Language Processing techniques to automate the process of extracting information about the insurance coverage from unstructured insurance policy documents.
University essay from Uppsala universitet/DatalogiAbstract : This thesis investigates Natural Language Processing (NLP) techniques to extract relevant information from long and unstructured insurance policy documents. The goal is to reduce the amount of time required by readers to understand the coverage within the documents. READ MORE
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5. Impact of GAN methods for theHandwritten Digit Classification inHandwritten Document Images
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: GANs are well-known for their ability to generate realistic fake sample data, which can be audio, images, and videos. The application areas of GANs have increased their popularity in recent years. The first and best feature of GANs is their learning nature, characterized by powerful learning. READ MORE