Summary of the paper
| Title | SinoCoreferencer: An End-to-End Chinese Event Coreference Resolver |
|---|---|
| Authors | Chen Chen and Vincent Ng |
| Abstract | Compared to entity coreference resolution, there is a relatively small amount of work on event coreference resolution. Much work on event coreference was done for English. In fact, to our knowledge, there are no publicly available results on Chinese event coreference resolution. This paper describes the design, implementation, and evaluation of SinoCoreferencer, an end-to-end state-of-the-art ACE-style Chinese event coreference system. We have made SinoCoreferencer publicly available, in hope to facilitate the development of high-level Chinese natural language applications that can potentially benefit from event coreference information. |
| Topics | Information Extraction, Information Retrieval, Text Mining |
Full paper  |
SinoCoreferencer: An End-to-End Chinese Event Coreference Resolver |
| Bibtex | @InProceedings{CHEN14.1144, author = {Chen Chen and Vincent Ng}, title = {SinoCoreferencer: An End-to-End Chinese Event Coreference Resolver}, 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} } |