MDL-Based Acquisition of Substitutability Relationships Between Discourse Connectives

Abstract

Knowledge of which lexical items convey the same meaning in a given context is important for many Natural Language Processing tasks. This paper concerns the substitutability of discourse connectives in particular. This paper proposes a datadriven method based on a Minimum Description Length (MDL) criterion for automatically learning substitutability of connectives. The method is shown to outperform two baseline classifiers.

Cite

Text

Hutchinson. "MDL-Based Acquisition of Substitutability Relationships Between Discourse Connectives." International Joint Conference on Artificial Intelligence, 2005. doi:10.1016/j.rgmx.2015.06.006

Markdown

[Hutchinson. "MDL-Based Acquisition of Substitutability Relationships Between Discourse Connectives." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/hutchinson2005ijcai-mdl/) doi:10.1016/j.rgmx.2015.06.006

BibTeX

@inproceedings{hutchinson2005ijcai-mdl,
  title     = {{MDL-Based Acquisition of Substitutability Relationships Between Discourse Connectives}},
  author    = {Hutchinson, Ben},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1690-1691},
  doi       = {10.1016/j.rgmx.2015.06.006},
  url       = {https://mlanthology.org/ijcai/2005/hutchinson2005ijcai-mdl/}
}