Summary of the paper
| Title | Supervised Within-Document Event Coreference using Information Propagation |
|---|---|
| Authors | Zhengzhong Liu, Jun Araki, Eduard Hovy and Teruko Mitamura |
| Abstract | Event coreference is an important task for full text analysis. However, previous work uses a variety of approaches, sources and evaluation, making the literature confusing and the results incommensurate. We provide a description of the differences to facilitate future research. Second, we present a supervised method for event coreference resolution that uses a rich feature set and propagates information alternatively between events and their arguments, adapting appropriately for each type of argument. |
| Topics | Information Extraction, Information Retrieval, Other |
Full paper  |
Supervised Within-Document Event Coreference using Information Propagation |
| Bibtex | @InProceedings{LIU14.646, author = {Zhengzhong Liu and Jun Araki and Eduard Hovy and Teruko Mitamura}, title = {Supervised Within-Document Event Coreference using Information Propagation}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |