This work takes us through the literature on applications of genetic programming to problems of natural
language processing. The purpose of natural language processing is to allow us to communicate with computers
in natural language. Among the problems addressed in the area is, for example, the extraction of information,
which draws relevant data from unstructured texts written in natural language. There are also domains of
application of particular relevance because of the difficulty in dealing with the corresponding documents,
such as opinion mining in social networks, or because of the need for high precision in the information extracted,
such as the biomedical domain. There have been proposals to apply genetic programming techniques in several
of these areas. This tour allows us to observe the potential¿not yet fully exploited¿of such applications.
We also review some cases in which genetic programming can provide information that is absent from other
approaches, revealing its ability to provide easy to interpret results, in form of programs or functions.
Finally, we identify some important challenges in the area.