Essays about: "KB-BERT"

Showing result 1 - 5 of 11 essays containing the word KB-BERT.

  1. 1. Punctuation Restoration as Post-processing Step for Swedish Language Automatic Speech Recognition

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Ishika Gupta; [2023]
    Keywords : Transformer; BERT; KB-BERT; NLP; punctuation restoration; deep learning; neural networks;

    Abstract : This thesis focuses on the Swedish language, where punctuation restoration, especially as a postprocessing step for the output of Automatic Speech Recognition (ASR) applications, needs furtherresearch. I have collaborated with NewsMachine AB, a company that provides large-scale mediamonitoring services for its clients, for which it employs ASR technology to convert spoken contentinto text. READ MORE

  3. 2. Neural Cleaning of Swedish Textual Data : Using BERT-based methods for Token Classification of Running and Non-Running Text

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Andreas Ericsson; [2023]
    Keywords : Natural Language Processing; Text Cleaning; Transformers; BERT; Token Classification; Deep Learning; Språkteknologi; Textrensning; Transformers; BERT; Token-klassificering; Djupinlärning;

    Abstract : Modern natural language processing methods requires big textual datasets to function well. A common method is to scrape the internet to acquire the needed data. This does, however, come with the issue that some of the data may be unwanted – for instance, spam websites. READ MORE

  4. 3. Annotating Job Titles in Job Ads using Swedish Language Models

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Markus Ridhagen; [2023]
    Keywords : Natural language processing; NLP; Named-entity recognition; NER; Bidirectional Encoder Representations from Transformers; BERT; Active Learning;

    Abstract : This thesis investigates automated annotation approaches to assist public authorities in Sweden in optimizing resource allocation and gaining valuable insights to enhance the preservation of high-quality welfare. The study uses pre-trained Swedish language models for the named entity recognition (NER) task of finding job titles in job advertisements from The Swedish Public Employment Service, Arbetsförmedlingen. READ MORE

  5. 4. Sentiment and Semantic Analysis and Urban Quality Inference using Machine Learning Algorithms

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Emily Ho; Michelle Schneider; [2022-10-14]
    Keywords : Natural Language Processing; Machine Learning; Deep Neural Networks; Transformers; BERT; NER; Text Classification; Urban Planning; Qualitative Research; Interviews;

    Abstract : Qualitative interviews are conducted by researchers to gain a deeper understanding of people’s opinions and perceptions about a specific topic. The analysis of such textual data is an iterative process and often time-consuming. READ MORE

  6. 5. Re-ranking search results with KB-BERT

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Bjarki Viðar Kristjánsson; [2022]
    Keywords : Natural language processing; Information retrieval; BERT; KB-BERT; Search evaluation; Naturlig språkbehandling; Informationssökning; BERT; KB-BERT; Sökutvärdering;

    Abstract : This master thesis aims to determine if a Swedish BERT model can improve a BM25 search by re-ranking the top search results. We compared a standard BM25 search algorithm with a more complex algorithm composed of a BM25 search followed by re-ranking the top 10 results by a BERT model. READ MORE