Sökning: "word sense disambiguation"

Hittade 3 avhandlingar innehållade orden word sense disambiguation.

  1. 1. Word Sense Embedded in Geometric Spaces - From Induction to Applications using Machine Learning

    Författare :Mikael Kågebäck; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; word sense induction; word sense disambiguation; word embeddings; extractive summarisation; neural networks; deep learning; natural language procsessing; reinforcement learning;

    Sammanfattning : Words are not detached individuals but part of a beautiful interconnected web of related concepts, and to capture the full complexity of this web they need to be represented in a way that encapsulates all the semantic and syntactic facets of the language. Further, to enable computational processing they need to be expressed in a consistent manner so that similar properties are encoded in a similar way. 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. Word Representations for Emergent Communication and Natural Language Processing

    Författare :Mikael Kågebäck; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Extractive summarisation; Emergent communication; Deep reinforcement learning; Natural language processing; Word Representations; Deep learning; Machine learning; Artificial neural networks;

    Sammanfattning : The task of listing all semantic properties of a single word might seem manageable at first but as you unravel all the context dependent subtle variations in meaning that a word can encompass, you soon realize that precise mathematical definition of a word’s semantics is extremely difficult. In analogy, humans have no problem identifying their favorite pet in an image but the task of precisely defining how, is still beyond our capabilities. LÄS MER