Automatic Text Summarization: Building Authentic Language Learning Materials with Python and NLP
Presenter: Richard Medina
Summarization refers to a Natural Language Processing (NLP) technique for automatically generating shorter length texts from longer documents. Once compiled, these summaries can be used as material in varying language learning pedagogies and in varying learning tasks. In this demonstration and discussion we will introduce the major components of automatic text summarization and its utility for building language material from authentic sources (E.g., newspaper articles, literature). In addition to providing this background, we will also demonstrate application of this technique using Python and related NLP libraries. This talk is geared towards a non-technical but extremely curious audience.
Questions? Please contact cltmanoa@hawaii.edu
