Essays about: "word processing"
Showing result 16 - 20 of 181 essays containing the words word processing.
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16. Information Extraction from Invoices using Graph Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Information Extraction is a sub-field of Natural Language Processing that aims to extract structured data from unstructured sources. With the progress in digitization, extracting key information like account number, gross amount, etc. from business invoices becomes an interesting problem in both industry and academy. READ MORE
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17. The impact of Large Language Models on the publishing sectors : Books, academic journals, newspapers
University essay from Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)Abstract : This paper examines the potential impact of Large Language Models (LLMs) in the press and in the production of books and academic journals. LLMs, such as OpenAI’s GPT-3, are trained on massive text corpora and can predict the next word in a given context through probabilistic methods. READ MORE
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18. The role of word accents in semantic processing in South Swedish
University essay from Lunds universitet/Masterprogram: Språk och språkvetenskap; Lunds universitet/FonetikAbstract : Prosodic cues can aid speech processing by adding semantic information in lexical tones or functional information in intonational tones. Swedish word accents are considered to have stronger grammatical functions than semantic roles, although they are shaped by both lexical and intonational information structure. READ MORE
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19. Classification of User Stories using aNLP and Deep Learning Based Approach
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : .... READ MORE
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20. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. READ MORE