Search for dissertations about: "Natural Language Supervision"

Showing result 1 - 5 of 8 swedish dissertations containing the words Natural Language Supervision.

  2. 1. Technical Language Supervision for Intelligent Fault Diagnosis

    Author : Karl Löwenmark; Fredrik Sandin; Olga Fink; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Technical Language Processing; Natural Language Processing; Intelligent Fault Diagnosis; Natural Language Supervision; Condition Monitoring; Maskininlärning; Machine Learning;

    Abstract : Condition Monitoring (CM) is widely used in industry to meet sustainability, safety, and equipment efficiency requirements. Intelligent Fault Diagnosis (IFD) research focuses on automating CM data analysis tasks, to detect and prevent machine faults, and provide decision support. READ MORE

  4. 2. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

    Author : Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; linguistic structure prediction; structured prediction; latent-variable model; semi-supervised learning; multilingual learning; cross-lingual learning; indirect supervision; partial supervision; ambiguous supervision; part-of-speech tagging; dependency parsing; named-entity recognition; sentiment analysis; Computational Linguistics; Datorlingvistik;

    Abstract : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. READ MORE

  5. 3. Resources and Applications for Dialectal Arabic: the Case of Levantine

    Author : Chatrine (kathrein) Qwaider (abu kwaik); Göteborgs universitet; []
    Keywords : HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; Dialectal Arabic Natural Language Processing; Computational Linguistics; Dialect Identification; Sentiment Analysis; Machine Learning; Deep Learning; Language modelling; Natural Language processing;

    Abstract : This is a thesis about the computational study of Dialectal Arabic (DA). In particular, the thesis studies DA, with a special emphasis on Levantine Arabic, and develops tools and resources for the computational study of Dialectal Arabic Natural Language Processing (DANLP). READ MORE

  6. 4. Contributions to Shallow Discourse Parsing : To English and beyond

    Author : Murathan Kurfalı; Robert Östling; Mats Wirén; Christian Hardmeier; Amir Zeldes; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; discourse; discourse relations; shallow discourse parsing; transfer learning; multilinguality; low-resource nlp; Linguistics; lingvistik;

    Abstract : Discourse is a coherent set of sentences where the sequential reading of the sentences yields a sense of accumulation and readers can easily follow why one sentence follows another. A text that lacks coherence will most certainly fail to communicate its intended message and leave the reader puzzled as to why the sentences are presented together. READ MORE

  7. 5. Deep learning for news topic identification in limited supervision and unsupervised settings

    Author : Arezoo Hatefi; Frank Drewes; Johanna Björklund; Xuan-Son Vu; Eric Gaussier; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Topic Identification; Data Clustering; News Stream Clustering; Semi-Supervised Learning; Unsupervised Learning; Event Topics; News Stories; Multimodal News; Document Classification; Document Clustering; Deep Learning; Deep Clustering; Pre-trained Language Models;

    Abstract : In today's world, following news is crucial for decision-making and staying informed. With the growing volume of daily news, automated processing is essential for timely insights and in aiding individuals and corporations in navigating the complexities of the information society. READ MORE