Sökning: "distributional representations"

Hittade 5 uppsatser innehållade orden distributional representations.

  1. 1. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Vijay Jayaraman; [2023]
    Nyckelord :time-series prediction; time-series histogram analysis; Convolution Neural Network CNN ; Autoencoder; Weibull Time-to-Event WTTE ; Recurrent Neural Network RNN ; Engine turbo charger failure prediciton;

    Sammanfattning : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. LÄS MER

  3. 2. Domain Adaptation for Hypernym Discovery via Automatic Collection of Domain-Specific Training Data

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Johannes Palm Myllylä; [2019]
    Nyckelord :NLP; natural language processing; domain adaptation; hypernym; hyponym;

    Sammanfattning : Identifying semantic relations in natural language text is an important component of many knowledge extraction systems. This thesis studies the task of hypernym discovery, i.e discovering terms that are related by the hypernymy (is-a) relation. LÄS MER

  4. 3. Distributionella representationer av ord för effektiv informationssökning : Algoritmer för sökning i kundsupportforum

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Tim Lachmann; Johan Sabel; [2017]
    Nyckelord :word2vec; fasttext; glove; LSI; LSA; word embeddings; information retrieval; search engine; machine learning; neural networks; natural language processing; NLP; distributional representations; word2vec; fasttext; glove; LSI; LSA; ordinbäddning; informationssökning; sökmotor; maskininlärning; språkteknologi; neurala nätverk; distributionella representationer;

    Sammanfattning : I takt med att informationsmängden ökar i samhället ställs högre krav på mer förfinade metoder för sökning och hantering av information. Att utvinna relevant data från företagsinterna system blir en mer komplex uppgift då större informationsmängder måste hanteras och mycket kommunikation förflyttas till digitala plattformar. LÄS MER

  5. 4. Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing

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

    Författare :Jimmy Callin; [2017]
    Nyckelord :machine learning; neural networks; word representations; word embeddings; distributional semantic models; word vectors; discourse parsing; shallow discourse parsing; maskininlärning; neurala nätverk; ordrepresentationer; distributionella semantiska modeller; diskursparsning;

    Sammanfattning : CoNLL 2015 featured a shared task on shallow discourse parsing. In 2016, the efforts continued with an increasing focus on sense classification. In the case of implicit sense classification, there was an interesting mix of traditional and modern machine learning classifiers using word representation models. LÄS MER

  7. 5. The Use of Distributional Semantics in Text Classification Models : Comparative performance analysis of popular word embeddings

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Tobias Norlund; [2016]
    Nyckelord :distributional semantics; text classification; cnn;

    Sammanfattning : In the field of Natural Language Processing, supervised machine learning is commonly used to solve classification tasks such as sentiment analysis and text categorization. The classical way of representing the text has been to use the well known Bag-Of-Words representation. LÄS MER