Sökning: "summarization"

Visar resultat 1 - 5 av 13 avhandlingar innehållade ordet summarization.

  1. 1. Resource Lean and Portable Automatic Text Summarization

    Författare :Martin Hassel; Hercules Dalianis; Viggo Kann; Kerstin Severinson Eklundh; Horacio Saggion; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; holsum; language independent; holistic; summarization; lexical semantics; co-occurrence statistics; word space model; bag-of-words; bag-of-concepts; random indexing; swesum; news corpus; extract corpus; Computer science; Datalogi;

    Sammanfattning : Today, with digitally stored information available in abundance, even for many minor languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one such technique, where a computer summarizes a longer text to a shorter non-rendundant form. LÄS MER

  3. 2. Multi-Document Summarization and Semantic Relatedness

    Författare :Olof Mogren; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; semantic relatedness; multi-document summarization; semantic similarity; automatic summarization;

    Sammanfattning : Automatic summarization is the process of presenting the contents of written documents in a short, comprehensive fashion. Many approaches have been proposed for this problem, some of which extract content from the input documents (extractive methods), and others that generate the language in the summary based on some representation of the document contents (abstractive methods). LÄS MER

  4. 3. Representation learning for natural language

    Författare :Olof Mogren; RISE; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

    Sammanfattning : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. LÄS MER

  5. 4. Machine Learning methods in shotgun proteomics

    Författare :Patrick Truong; Lukas Käll; Peter Nilsson; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; mass spectrometry protein summarization Bayesian hierarchical modelling label-free quantification data-independent acquisition mass spectrometry; benchmark mathematical methods; transformers; computational proteomics; proteomics; bioinformatics; bert; ms2 intensity; probabilistic modelling; Biotechnology; Bioteknologi;

    Sammanfattning : As high-throughput biology experiments generate increasing amounts of data, the field is naturally turning to data-driven methods for the analysis and extraction of novel insights. These insights into biological systems are crucial for understanding disease progression, drug targets, treatment development, and diagnostics methods, ultimately leading to improving human health and well-being, as well as, deeper insight into cellular biology. LÄS MER

  7. 5. Supporting mathematical reasoning through reading and writing in mathematics : making the implicit explicit

    Författare :Cecilia Segerby; Malmö högskola; []
    Nyckelord :Educational Design Research; Grade 4; Mathematic reasoning; Reading; Reciprocal Teaching Model; Systemic Functional Linguistic; Writing;

    Sammanfattning : In school mathematics, mathematical reasoning with an emphasis on language is considered an important competence. A student’s competence to reason in mathematics requires specific reading and writing skills, but suitable activities to support these skills are difficult to find. LÄS MER