Summary of the paper
| Title | Error Analysis for Learning-based Coreference Resolution |
|---|---|
| Authors | Olga Uryupina |
| Abstract | State-of-the-art coreference resolution engines show similar performance figures (low sixties on the MUC-7 data). Our system with a rich linguistically motivated feature set yields significantly better performance values for a variety of machine learners, but still leaves substantial room for improvement. In this paper we address a relatively unexplored area of coreference resolution - we present a detailed error analysis in order to understand the issues raised by corpus-based approaches to coreference resolution. |
| Language | Single language |
| Topics | Anaphora, Coreference, Discourse, Statistical methods |
Full paper |
Error Analysis for Learning-based Coreference Resolution |
Slides |
Error Analysis for Learning-based Coreference Resolution |
| Bibtex | @InProceedings{URYUPINA08.487, author = {Olga Uryupina}, title = {Error Analysis for Learning-based Coreference Resolution}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |