Year: 2018
Type: conference-paper
Abstract: 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.
DOI: 10.18653/v1/w18-0703
Author: Ina Roesiger
Institution: University of Stuttgart
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2805159201