Sökning: "Named Entity Recognition"

Visar resultat 6 - 10 av 62 uppsatser innehållade orden Named Entity Recognition.

1. 6. Fine-tuning a BERT-based NER Model for Positive Energy Districts

   Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Karen Ortega; Fei Sun; [2023]
   Nyckelord :Positive Energy District PED ; Named Entity Recognition NER ; Bidirectional Encoder Representations from Transformers BERT ; Pipeline; Fine-tune;

   Sammanfattning : This research presents an innovative approach to extracting information from Positive Energy Districts (PEDs), urban areas generating surplus energy. PEDs are integral to the European Commission's SET Plan, tackling housing challenges arising from population growth. LÄS MER

3. 7. Automatic Voice Trading Surveillance : Achieving Speech and Named Entity Recognition in Voice Trade Calls Using Language Model Interpolation and Named Entity Abstraction

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

   Författare :Martin Sundberg; Mikael Ohlsson; [2023]
   Nyckelord :Automatic Speech Recognition; Natural Language Model; Named Entity Recognition; Voice Trading; Market Surveillance.;

   Sammanfattning : This master thesis explores the effectiveness of interpolating a larger generic speech recognition model with smaller domain-specific models to enable transcription of domain-specific conversations. The study uses a corpus within the financial domain collected from the web and processed by abstracting named entities such as financial instruments, numbers, as well as names of people and companies. LÄS MER

4. 8. Named Entity Recognition for Case Narratives of Adverse Event Reports

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Jayant Yadav; [2023]
   Nyckelord :;

   Sammanfattning : In the field of pharmacovigilance (PV), signal detection and assessment activities play a crucial role. They require a PV assessor to read through countless adverse event reports which is manual labor-intensive work. To ease the reading process, visual highlighters can be provided by leveraging natural language processing techniques. LÄS MER

5. 9. Exploring Data Extraction and Relation Identification Using Machine Learning : Utilizing Machine-Learning Techniques to Extract Relevant Information from Climate Reports

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :William Berger; Alex Fooladi; Markus Lindgren; Michel Messo; Jonas Rosengren; Lukas Rådmann; [2023]
   Nyckelord :Data extraction; Named Entity Recognition; Relation Extraction; Machine Learning;

   Sammanfattning : Ensuring the accessibility of data from Swedish municipal climate reports is necessary for examining climate work in Sweden. Manual data extraction is time-consuming and prone to errors, necessitating automation of the process. LÄS MER

7. 10. Lights, Camera, BERT! : Autonomizing the Process of Reading andInterpreting Swedish Film Scripts

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

   Författare :Leon Henzel; [2023]
   Nyckelord :NLP; Active Learning; Transformers; BERT;

   Sammanfattning : In this thesis, the autonomization of extracting information from PDFs of Swedish film scriptsthrough various machine learning techniques and named entity recognition (NER) is explored.Furthermore, it is explored if labeled data needed for the NER tasks can be reduced to some degreewith the goal of saving time. LÄS MER