Rule- and Learning-based Methods for Bridging Resolution in the ARRAU Corpus
Ina Roesiger · 2018
We present two systems for bridging resolution, which we submitted to the CRAC shared task on bridging anaphora resolution in the ARRAU corpus (track 2): a rulebased approach following Hou et al. (2014) and a learning-based approach.The reimplementation of Hou et al. ( 2014) achieves very poor performance when being applied to ARRAU.We found that the reason for this lies in the different bridging annotations: whereas the rule-based system suggests many referential bridging pairs, ARRAU contains mostly lexical bridging.We describe the differences between these two types of bridging and adapt the rule-based approach to be able to handle lexical bridging.The modified rule-based approach achieves reasonable performance on all (sub-)tasks and outperforms a simple learningbased approach.