Sökning: "Lexical Disambiguation"

Hittade 3 avhandlingar innehållade orden Lexical Disambiguation.

  1. 1. Argument Differentiation. Soft constraints and data-driven models

    Författare :Lilja Øvrelid; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; syntactic arguments; parsing; lexical acquisition; animacy; Scandinavian syntax; soft constraints; data-driven models; machine learning;

    Sammanfattning : The ability to distinguish between different types of arguments is central to syntactic analysis, whether studied from a theoretical or computational point of view. This thesis investigates the influence and interaction of linguistic properties of syntactic arguments in argument differentiation. LÄS MER

  3. 2. Splitting rocks: Learning word sense representations from corpora and lexica

    Författare :Luis Nieto Piña; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; language technology; natural language processing; distributional models; semantic representations; distributed representations; word senses; embeddings; word sense disambiguation; linguistic resources; corpus; lexicon; machine learning; neural networks;

    Sammanfattning : The representation of written language semantics is a central problem of language technology and a crucial component of many natural language processing applications, from part-of-speech tagging to text summarization. These representations of linguistic units, such as words or sentences, allow computer applications that work with language to process and manipulate the meaning of text. LÄS MER

  4. 3. Graph Algorithms for Large-Scale and Dynamic Natural Language Processing

    Författare :Kambiz Ghoorchian; Magnus Boman; Magnus Sahlgren; Sumithra Velupillai; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Natural Language Processing; Lexical Disambiguation; Topic Modeling; Representation Learning; Graph Partitioning; Distributed Algorithms; Dimensionality Reduction; Random Indexing; ;

    Sammanfattning : In Natural Language Processing, researchers design and develop algorithms to enable machines to understand and analyze human language. These algorithms benefit multiple downstream applications including sentiment analysis, automatic translation, automatic question answering, and text summarization. LÄS MER