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Natural Language Engineering

Luke Vincent Inglés 17 fichas

Natural Language Engineering

Fichas del conjunto (17)

  1. 1Tokenisationconverting strings to tokens
  2. 2Segmentationsplitting into sentences
  3. 3StemmingStemming
  4. 4LemmatisationLemmatisation
  5. 5Part-of-speech tagginglabel tokens nouns/verbs/adjectives etc
  6. 6phrasal chunkingform phrasal units from tokens, typically refer to enitities and actions
  7. 7Syntactic analysishierarchical analyse sentences into components (subject/object/main verb)
  8. 8Semantic analysisexpress literal meaning
  9. 9Named entity recognistionidentify type of entity (person/institution/place/time)
  10. 10Reference resolutionlink difference references to the same entity
  11. 11Word sense disambiguationusing context to disambiguate use of a word
  12. 12Relation detectionidentify and classify relationships between entiities
  13. 13Event detectionidentify, classify and temporarily order events
  14. 14Topic identificationidentify words/phrases that relate to a topic
  15. 15Text similaritymeasure relevance of a document to a query, or of one document to another
  16. 16NLP pipelineNLP pipeline
  17. 17Why is NLP hard?Many different ways of saying things
    Hundreds of different dialects
    Language is used in highly creative ways

Información

Descripción
University of Sussex 2014
Creado por
Luke Vincent
Visitas
28
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