Interpreting anaphoric references is a fundamental aspect of our language competence that
has long attracted the attention of computational linguists. The appearance of ever-larger …

Most recent coreference resolution systems use search algorithms over possible spans to
identify mentions and resolve coreference. We instead present a coreference resolution …

This paper analyzes the impact of higher-order inference (HOI) on the task of coreference
resolution. HOI has been adapted by almost all recent coreference resolution models …

While coreference resolution is defined independently of dataset domain, most models for
performing coreference resolution do not transfer well to unseen domains. We consolidate a …

Academic neural models for coreference resolution (coref) are typically trained on a single
dataset, OntoNotes, and model improvements are benchmarked on that same dataset …

Coreference resolution involves the task of identifying text spans within a discourse that
pertain to the same real-world entity. While this task has been extensively explored in the …

Relating entities and events in text is a key component of natural language understanding.
Cross-document coreference resolution, in particular, is important for the growing interest in …

No neural coreference resolver for Arabic exists, in fact we are not aware of any learning-
based coreference resolver for Arabic since (Bjorkelund and Kuhn, 2014). In this paper, we …

The state-of-the-art on basic, single-antecedent anaphora has greatly improved in recent
years. Researchers have therefore started to pay more attention to more complex cases of …

Although several datasets annotated for anaphoric reference/coreference exist, even the
largest such datasets have limitations in terms of size, range of domains, coverage of …