Sökning: "semantic content"

Visar resultat 1 - 5 av 82 uppsatser innehållade orden semantic content.

1. 1. Key Sentence Extraction From CRISPR-Cas9 Articles Using Sentence Transformers

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Sandra Henningsson; Brage Stranden Lae; [2023-11-09]
   Nyckelord :NLP; Transformers; CRISPR; semantic search; keyphrase extraction;

   Sammanfattning : The annotation of CRISPR-related articles and extraction of key content has traditionally relied on manual efforts. Manual annotation is error-prone and timeconsuming. This thesis presents an alternative approach using transfer learning and pre-trained models based on the Transformer architecture. LÄS MER

3. 2. “An accidental heroine” : An Investigation of Gender Representation and Gender-based Stereotypes in Swedish Digital EFL Learning Material

   Magister-uppsats, Stockholms universitet/Engelska institutionen

   Författare :Malin Ångström; [2023]
   Nyckelord :Gender representation; gender-based stereotypes; digital learning material; semantic types.;

   Sammanfattning : The endeavour for gender equality and against gender-based patterns (stereotypes) are topics often discussed in relation to education. Correspondingly, extensive research on textbooks used in schools around the world has been conducted, some of which include the aspect of people beyond the binary. LÄS MER

4. 3. Graph Attention Networks for Link Prediction in Semantic Word Grouping

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

   Författare :Anton Gollbo; [2023]
   Nyckelord :;

   Sammanfattning : Manually extracting relevant information from extensive amounts of data can betime-consuming and labour-intensive. Automating this process can allow for a shift of focus toward analysis and utilization of the extracted information, rather than allocating time and resources to data collection and preparation. LÄS MER

5. 4. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Thomas Bouquet; [2023]
   Nyckelord :Natural Language Processing; Transformers; Deep Learning; Cost Prediction; Traitement Automatique du Langage; Transformers; Apprentissage Profond; Prédiction de coûts; Behandling av naturligt språk; Transformers; Djupinlärning; Kostnadsförutsägelser;

   Sammanfattning : 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. LÄS MER

7. 5. Ontology-Based SemanticWeb Mining Challenges : A Literature Review

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Christopher March; [2023]
   Nyckelord :Ontology; Semantic Web mining; OWL; Ontology matching; Ontology-based association rule mining;

   Sammanfattning : The semantic web is an extension of the current web that provides a standardstructure for data representation and reasoning, allowing content to be readable for both humans and machines in a form known as ontological knowledgebases. The goal of the Semantic Web is to be used in large-scale technologies or systems such as search engines, healthcare systems, and social mediaplatforms. LÄS MER