Sökning: "Entity Linking"
Visar resultat 1 - 5 av 12 uppsatser innehållade orden Entity Linking.
1. Domain-specific knowledge graph construction from Swedish and English news articles
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : In the current age of new textual information emerging constantly, there is a challenge related to processing and structuring it in some ways. Moreover, the information is often expressed in many different languages, but the discourse tends to be dominated by English, which may lead to overseeing important, specific knowledge in less well-resourced languages. LÄS MER
2. Pre-training a knowledge enhanced model in biomedical domain for information extraction
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : While recent years have seen a rise of research in knowledge graph enrichedpre-trained language models(PLM), few studies have tried to transfer the work to the biomedical domain. This thesis is a first attempt to pre-train a large-scalebiological knowledge enriched language model (KPLM). Under the frameworkof CoLAKE (T. Sun et al. LÄS MER
3. Extracting Salient Named Entities from Financial News Articles
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This thesis explores approaches for extracting company mentions from financial newsarticles that carry a central role in the news. The thesis introduces the task of salient named entity extraction (SNEE): extract all salient named entity mentions in a text document. LÄS MER
4. Comparison of CO2 flux in an Amazonian natural lake and hydroelectric reservoir
Kandidat-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Due to global demand for alternative energy sources, the industry of hydropower is continuing to thrive. Not only are there already thousands of dams worldwide, but many more developments are planned for the future. LÄS MER
5. Separating the Signal from the Noise: Predicting the Correct Entities in Named-Entity Linking
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : In this study, I constructed a named-entity linking system that maps between contextual word embeddings and knowledge graph embeddings to predict correct entities. To establish a named-entity linking system, I first applied named-entity recognition to identify the entities of interest. LÄS MER