Sökning: "sentence embeddings"

Visar resultat 16 - 20 av 37 uppsatser innehållade orden sentence embeddings.

  1. 16. Evaluation of Sentence Representations in Semantic Text Similarity Tasks

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

    Författare :Nils Balzar Ekenbäck; [2021]
    Nyckelord :sentence representations; semantic text similarity; sentence simi-larity; word embeddings; sentence embeddings; meningsrepresentation; semantisk textlikhet; meningslikhet; or-dinbäddningar; meningsinbäddningar;

    Sammanfattning : This thesis explores the methods of representing sentence representations for semantic text similarity using word embeddings and benchmarks them against sentence based evaluation test sets. Two methods were used to evaluate the representations: STS Benchmark and STS Benchmark converted to a binary similarity task. LÄS MER

  3. 17. Classifying and Comparing Latent Space Representation of Unstructured Log Data.

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

    Författare :Bharat Sharma; [2021]
    Nyckelord :Machine learning; Natural language processing; Deep learning; Classification; Supervised learning; Transformer models; Sentence embeddings; Doc2Vec; Deep averaging networks.; Maskininlärning; naturligtspråkbehandling; djupinlärning; klassificering; övervakad inlärning; transformeringsmodeller; meningsinbäddningar; Doc2Vec; djupa linjärkombinerande nätverk.;

    Sammanfattning : This thesis explores and compares various methods for producing vector representation of unstructured log data. Ericsson wanted to investigate machine learning methods to analyze logs produced by their systems to reduce the cost and effort required for manual log analysis. LÄS MER

  4. 18. Evaluating semantic similarity using sentence embeddings

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

    Författare :Jacob Malmberg; [2021]
    Nyckelord :;

    Sammanfattning : Semantic similarity search is the task of searching for documents or sentences which contain semantically similar content to a user-submitted search term. This task is often carried out, for instance when searching for information on the internet. LÄS MER

  5. 19. Semantic Topic Modeling and Trend Analysis

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Jasleen Kaur Mann; [2021]
    Nyckelord :NLP; unsupervised topic modelling; trend analysis; LDA; BERT; Sentence-BERT; TF-IDF; transformer based language models; document clustering;

    Sammanfattning : This thesis focuses on finding an end-to-end unsupervised solution to solve a two-step problem of extracting semantically meaningful topics and trend analysis of these topics from a large temporal text corpus. To achieve this, the focus is on using the latest develop- ments in Natural Language Processing (NLP) related to pre-trained language models like Google’s Bidirectional Encoder Representations for Transformers (BERT) and other BERT based models. LÄS MER

  7. 20. Generating Conceptual Metaphoric Paraphrases

    Kandidat-uppsats, Stockholms universitet/Avdelningen för datorlingvistik

    Författare :Olof Gotting; [2021]
    Nyckelord :;

    Sammanfattning : Metaphoric Paraphrase generation is a relatively new and unexplored Natural Language Generation task. The aim of the task is to develop computational systems that paraphrase literal sentences into cogent metaphoric ones. LÄS MER