Summary of the paper
| Title | Improving the Recall of a Discourse Parser by Constraint-based Postprocessing |
|---|---|
| Authors | Sucheta Ghosh, Richard Johansson, Giuseppe Riccardi and Sara Tonelli |
| Abstract | We describe two constraint-based methods that can be used to improve the recall of a shallow discourse parser based on conditional random field chunking. These method uses a set of natural structural constraints as well as others that follow from the annotation guidelines of the Penn Discourse Treebank. We evaluated the resulting systems on the standard test set of the PDTB and achieved a rebalancing of precision and recall with improved F-measures across the board. This was especially notable when we used evaluation metrics taking partial matches into account; for these measures, we achieved F-measure improvements of several points. |
| Topics | Discourse annotation, representation and processing |
Full paper  |
Improving the Recall of a Discourse Parser by Constraint-based Postprocessing |
| Bibtex | @InProceedings{GHOSH12.297, author = {Sucheta Ghosh and Richard Johansson and Giuseppe Riccardi and Sara Tonelli}, title = {Improving the Recall of a Discourse Parser by Constraint-based Postprocessing}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |