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.2015.06.006Markdown
[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.2015.06.006BibTeX
@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/}
}