@inProceedings{oepen-etal-2017-2017-264156, title = {The 2017 Shared Task on Extrinsic Parser Evaluation. Towards a Reusable Community Infrastructure}, abstract = {The 2017 Shared Task on Extrinsic Parser Evaluation (EPE 2017) seeks to provide better estimates of the relative utility of different types of dependency representa- tions for a variety of downstream applica- tions that depend centrally on the analysis of grammatical structure. EPE 2017 de- fi nes a generalized notion of lexicalized syntactico-semantic dependency represen- tations and provides a common interchange format to three state-of-the-art downstream applications, viz. biomedical event extrac- tion, negation resolution, and fi ne-grained opinion analysis. As a fi rst step towards building a generic and extensible infras- tructure for extrinsic parser evaluation, the downstream applications have been gener- alized to support a broad range of diverese dependency representations (including di- vergent sentence and token boundaries) and to allow fully automated re-training and evaluation for a speci fi c collection of parser outputs. Nine teams participated in EPE 2017, submitting 49 distinct runs that encompass many different families of dependency representations, distinct ap- proaches to preprocessing and parsing, and various types and volumes of training data.}, booktitle = {Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation at the Fourth International Conference on Dependency Linguistics and the 15th International Conference on Parsing Technologies}, author = {Oepen, Stephan and Øvrelid, Lilja and Björne, Jari and Johansson, Richard and Lapponi, Emanuele and Ginter, Filip and Velldal, Erik}, year = {2017}, publisher = {Association for Computational Linguistics (ACL)}, address = {Stroudsburg, USA}, ISBN = {978-1-945626-74-6}, }