Sökning: "natural language processing"

Visar resultat 1 - 5 av 433 uppsatser innehållade orden natural language processing.

  1. 1. Detecting Dissimilarity in Discourse on Social Media

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Matematiska institutionen

    Författare :Mattias Mineur; [2022]
    Nyckelord :Natural Language Processing;

    Sammanfattning : A lot of interaction between humans take place on social media. Groups and communities are sometimes formed both with and without intention. These interactions generate a large quantity of text data. This project aims to detect dissimilarity in discourse between communities on social media using a distributed approach. LÄS MER

  2. 2. Few-shot Question Generation with Prompt-based Learning

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Yongchao Wu; [2022]
    Nyckelord :Nautral Lanugage Processing; Question Generation; Neural Networks; Prompt-based Learning; Language Models;

    Sammanfattning : Question generation (QG), which automatically generates good-quality questions from a piece of text, is capable of lowering the cost of the manual composition of questions. Recently Question generation has attracted increasing interest for its ability to supply a large number of questions for developing conversation systems and educational applications, as well as corpus development for natural language processing (NLP) research tasks, such as question answering and reading comprehension. LÄS MER

  3. 3. Generation of Control Logic from Ordinary Speech

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Hamed Haghjo; Elias Vahlberg; [2022]
    Nyckelord :Code generation; generation of code; generation of control logic; natural language processing;

    Sammanfattning : Developments in automatic code generation are evolving remarkably fast, with companies and researchers competing to reach human-level accuracy and capability. Advancements in this field primarily focus on using machine learning models for end-to-end code generation. LÄS MER

  4. 4. Evaluating Cold-Start in Recommendation Systems Using a Hybrid Model Based on Factorization Machines and SBERT Embeddings

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

    Författare :Sabrina Chowdhury; [2022]
    Nyckelord :Natural Language Processing; Hybrid Recommender Systems; Cold-Start Problem; språkteknologi; hybrida rekommendationssystem; kallstartsproblemet;

    Sammanfattning : The item cold-start problem, which describes the difficulty of recommendation systems in recommending new items to users, remains a great challenge for recommendation systems that rely on past user-item interaction data. A popular technique in the current research surrounding the cold-start problem is the use of hybrid models that combine two or more recommendation strategies that may contribute with their individual advantages. LÄS MER

  5. 5. A Web Application for Wildfire Spread Prediction and Visualisation in Sweden Using Geospatial Data and Technology

    Master-uppsats, KTH/Geoinformatik

    Författare :Micael Makenzius; Jonas Bylerius; [2022]
    Nyckelord :Prometheus; wildfire progression; real-time; python; Django; google earth engine; Mapbox GL JS; web-application; Prometheus; skogsbrands simulering; realtid; python; Django; google earth engine; Mapbox GL JS; webbapplikation;

    Sammanfattning : Skogsbränder är kraftfulla naturfenomen kapabla att åstakomma omfattande skada över stora ytor och medföra omfattande kostnader för sammhället både humanitärt, ekonomiskt och miljömässigt. Det finns därför ett starkt incitament att övervaka och förutspå skogsbränders utveckling och spridning. LÄS MER