Essays about: "sentence similarity"
Showing result 1 - 5 of 21 essays containing the words sentence similarity.
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1. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. READ MORE
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2. Self-Supervised Fine-Tuning of sentence embedding models using a Smooth Inverse Frequency model : Automatic creation of labels with Smooth Inverse Frequency model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sentence embedding models play a key role in the field of Natural Language Processing. They can be exploited for the resolution of several tasks like sentence paraphrasing, sentence similarity, and sentence clustering. READ MORE
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3. Semantic Similarity Comparison of Political Statements by ChatGPT and Political Representatives
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : ChatGPT is a recently released chatbot that through the use of deep learning can generate human-like statements on a variety of topics. Deep learning models have a potential to affect politics. They can for instance be used as a source for political information or be used to create and spread political messages. READ MORE
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4. Semi-supervised Sentiment Analysis for Sentence Classification
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In our work, we deploy semi-supervised learning methods to perform Sentiment Analysis on a corpus of sentences, meant to be labeled as either happy, neutral, sad, or angry. Sentence-BERT is used to obtain high-dimensional embeddings for the sentences in the training and testing sets, on which three classification methods are applied: the K-Nearest Neighbors classifier (KNN), Label Propagation, and Label Spreading. READ MORE
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5. Free-text Informed Duplicate Detection of COVID-19 Vaccine Adverse Event Reports
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : To increase medicine safety, researchers use adverse event reports to assess causal relationships between drugs and suspected adverse reactions. VigiBase, the world's largest database of such reports, collects data from numerous sources, introducing the risk of several records referring to the same case. READ MORE