Paper: Limited memory incremental coreference resolution

ACL ID C14-1201
Title Limited memory incremental coreference resolution
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

We propose an algorithm for coreference resolution based on analogy with shift-reduce pars- ing. By reconceptualising the task in this way, we unite ranking- and cluster-based approaches to coreference resolution, which have until now been largely orthogonal. Additionally, our framework naturally lends itself to rich discourse modelling, which we use to define a series of psycholinguistically motivated features. We achieve CoNLL scores of 63.33 and 62.91 on the CoNLL-2012 DEV and TEST splits of the OntoNotes 5 corpus, beating the publicly available state of the art systems. These results are also competitive with the best reported research systems despite our system having low memory requirements and a simpler model.