Essays about: "information extraction. transformer"

Found 4 essays containing the words information extraction. transformer.

  1. 1. Multilingual Transformer Models for Maltese Named Entity Recognition

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Kris Farrugia; [2022]
    Keywords : low-resource; named-entity; information extraction; Maltese;

    Abstract : The recently developed state-of-the-art models for Named Entity Recognition are heavily dependent upon huge amounts of available annotated data. Consequently, it is extremely challenging for data-scarce languages to obtain significant result. READ MORE

  2. 2. Pre-training a knowledge enhanced model in biomedical domain for information extraction

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Xi Yan; [2022]
    Keywords : bio-nlp; knowledge enhanced language model; pre-training; information extraction. transformer;

    Abstract : 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. READ MORE

  3. 3. Summarization and keyword extraction on customer feedback data : Comparing different unsupervised methods for extracting trends and insight from text

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Therése Skoghäll; David Öhman; [2022]
    Keywords : Unsupervised learning; Natural Language Processing; Text Summarization; Keyword Extraction; K-means; YAKE!; BERT;

    Abstract : Polestar has during the last couple of months more than doubled its amount of customer feedback, and the forecast for the future is that this amount will increase even more. Manually reading this feedback is expensive and time-consuming, and for this reason there's a need to automatically analyse the customer feedback. READ MORE

  4. 4. Extractive Multi-document Summarization of News Articles

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Harald Grant; [2019]
    Keywords : NLP; extractive summarization; multi-document; neural embeddings; information extraction; text-to-text generation; textrank; BERT; attention; Transformer; transfer learning; fine-tuning; ROUGE;

    Abstract : Publicly available data grows exponentially through web services and technological advancements. To comprehend large data-streams multi-document summarization (MDS) can be used. In this research, the area of multi-document summarization is investigated. READ MORE