Summary of the paper
| Title | Domain-specific vs. Uniform Modeling for Coreference Resolution |
|---|---|
| Authors | Olga Uryupina and Massimo Poesio |
| Abstract | Several corpora annotated for coreference have been made available in the past decade. These resources differ with respect to their size and the underlying structure: the number of domains and their similarity. Our study compares domain-specific models, learned from small heterogeneous subsets of the investigated corpora, against uniform models, that utilize all the available data. We show that for knowledge-poor baseline systems, domain-specific and uniform modeling yield same results. Systems, relying on large amounts of linguistic knowledge, however, exhibit differences in their performance: with all the designed features in use, domain-specific models suffer from over-fitting, whereas with pre-selected feature sets they tend to outperform union models. |
| Topics | Anaphora, Coreference, Discourse annotation, representation and processing |
Full paper  |
Domain-specific vs. Uniform Modeling for Coreference Resolution |
| Bibtex | @InProceedings{URYUPINA12.944, author = {Olga Uryupina and Massimo Poesio}, title = {Domain-specific vs. Uniform Modeling for Coreference Resolution}, 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} } |