Parsing Text in a Workspace for Language Generation

EasyChair Preprint 6171

Abstract

Processing of language by humans involves the intertwining of processes of production and comprehension. This paper describes how a cognitively inspired model can be adapted for the modeling of language generation and specifically details how a generated sentence can be parsed within a workspace in order to contribute to the program's self-evaluation.

Keyphrases: Codelet, Natural Language Generation, Workspace, language generation, parsing

@booklet{EasyChair:6171,
  author    = {George Wright and Matthew Purver},
  title     = {Parsing Text in a Workspace for Language Generation},
  howpublished = {EasyChair Preprint 6171},
  year      = {EasyChair, 2021}}