@article{Selman5,
  author = "Bart Selman",
  title = "Connectionist systems for natural language understanding",
  journal = "Artificial Intelligence Review",
  volume = "3",
  year = "1989",
  pages = "23--31",
  abstract = "We will discuss various connectionist schemes for
                  natural language understanding (NLU). In principle,
                  massively parallel processing schemes, such as
                  connectionist networks, are well-suited for
                  modelling highly integrated forms of processing. The
                  connectionist approach towards natural language
                  processing is motivated by the belief that a NLU
                  system should process knowledge from many different
                  sources, e.g. semantic, syntactic, and pragmatic,
                  in just this sort of integrated manner. The
                  successful use of spreading activation for various
                  disambiguation tasks in natural language processing
                  models lead to the first connectionist NLU
                  systems. In addition to describing in detail a
                  connectionist disambiguation system, we will also
                  discuss proposed connectionist approaches towards
                  parsing and case role assignment. This paper is
                  intended to introduce the reader to some of the
                  basic ideas behind the connectionist approach to
                  NLU. We will also suggest some directions for future
                  research.",
    download = "http://springerlink.com/content/g16hj41817825q6r/"
}