Shallow Semantic Analysis of Interactive Learner Sentences

Levi King and Markus Dickinson

Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications.

Focusing on applications for analyzing learner language which evaluate semantic appropriateness and accuracy, we collect data from a task which models some aspects of interaction, namely a picture description task (PDT). We parse responses to the PDT into dependency graphs with an an off-the-shelf parser, then use a decision tree to classify sentences into syntactic types and extract the logical subject, verb, and object, finding 92\% accuracy in such extraction. The specific goal in this paper is to examine the challenges involved in extracting these simple semantic representations from interactive learner sentences.


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Bibtex entry:

@InProceedings{king:dickinson:13,
  author    = {King, Levi and Dickinson, Markus},
  title     = {Shallow Semantic Analysis of Interactive Learner Sentences},
  booktitle = {Proceedings of the Eighth Workshop on Innovative Use of 
               NLP for Building Educational Applications},
  year      = {2013},
  address   = {Atlanta, GA USA},
  pages     = {},
  url       = {http://cl.indiana.edu/~md7/papers/king-dickinson13.html}
}