@inProceedings{johansson-2017-2017-264160, title = {EPE 2017: The Trento–Gothenburg Opinion Extraction System}, abstract = {We give an overview of one of the three downstream systems in the Extrin- sic Parser Evaluation shared task of 2017: the Trento–Gothenburg system for opin- ion extraction. We describe the modi fi ca- tions required to make the system agnos- tic to its input dependency representation, and discuss how the input affects the vari- ous submodules of the system. The results of the EPE shared task are presented and discussed, and to get a more detailed un- derstanding of the effects of the dependen- cies we run two of the submodules sepa- rately. The results suggest that the module where the effects are strongest is the opin- ion holder extraction module, which can be explained by the fact that this module uses several dependency-based features. For the other modules, the effects are hard to measure.}, 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 = {Johansson, Richard}, year = {2017}, publisher = {Association for Computational Linguistics (ACL) }, address = {Stroudsburg, USA}, ISBN = {978-1-945626-74-6 }, }