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Evolutionary computation for NLP tasks

Evolutionary computation for NLP tasks

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Natural language processing (NPL) is an important research field that deals with very different problems (tasks) concerning how to interpret, generate and process natural language. Different approaches have been proposed to tackle these problems. More recently, a significant number of works that use evolutionary computation to solve some of them were presented. Among these, we can find attempts to solve the problem of word segmentation, part-of-speech tagging, syntactic sentence analysis and grammar generation. Despite the good results obtained by these approaches, these techniques are still not widely used by the community of researchers working in the area of NPL. With this chapter, we aim to contribute to the dissemination of these relatively recent global optimisation techniques as valid alternatives to the classic approaches normally used to tackle these problems. To achieve this, we begin by making a description of these algorithms, sufficiently exhaustive, in our opinion, to understand their fundamental aspects. Next, we present, in detail, the most representative works found in the literature that apply evolutionary computation-based techniques to the tasks mentioned above.

Chapter Contents:

  • Abstract
  • 12.1 Introduction
  • 12.2 Global optimisation
  • 12.3 Evolutionary computation
  • 12.4 Evolutionary algorithms
  • 12.4.1 Genetic algorithms
  • 12.4.2 Evolutionary strategies
  • 12.4.3 Evolutionary programming
  • 12.4.4 Genetic programming
  • 12.5 Swarm intelligence
  • 12.5.1 Particle swarm optimisation
  • 12.5.2 Ant colony optimisation
  • 12.6 Evolutionary computation in natural language processing tasks
  • 12.6.1 Word segmentation
  • 12.6.2 Part-of-speech tagging
  • 12.6.3 Syntactic sentence analysis
  • 12.6.4 Grammar generation
  • 12.7 Final considerations
  • References

Inspec keywords: grammars; natural language processing; optimisation; evolutionary computation

Other keywords: natural language processing; word segmentation; NLP tasks; global optimisation techniques; natural language generation; natural language interpretation; evolutionary computation-based techniques; syntactic sentence analysis; grammar generation; part-of-speech tagging

Subjects: Natural language processing; Optimisation techniques

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