We propose a new deterministic approach to coreference resolution that combines the
global information and precise features of modern machine-learning models with the …

In this paper, we develop bilingual transfer learning approaches to improve Arabic
coreference resolution by leveraging additional English annotation via bilingual or …

In this chapter, we overview the major efforts in evaluation campaigns (shared tasks) for
coreference resolution, where multiple participants are given the same datasets and …

This paper presents an overview of challenges and approaches in multilingual coreference
resolution. We give an introduction to the terminology used in the field as well as to the basic …

This paper describes the process of adapting the Stanford Coreference resolution module to
the Basque language, taking into account the characteristics of the language. The module …