Towards a Coreference-aware Measure of Surprisal
This talk will describe ongoing work to model coreference as an incremental process, discussing current results, model design, and current challenges. Coreference is the semantic identity relationship between entities. Humans are able to effortlessly produce and comprehend language that describes coreference relations. While much work has explored coreference from a psycholinguistic angle, extensive modeling efforts have come from a more task-oriented NLP domain that does not seek to model cognitively plausible mechanisms. The current work attempts to bridge the two approaches by modeling coreference as part of an incremental semantic parsing process. Ultimately the model will be evaluated on parsing performance, coreference performance, and how well its predictions correlate with human processing data.