In this paper, we systematically explore the use of semantic roles in coreference resolution. Here, the semantic roles are automatically determined using a state-of-the-art SRL sy...
We aim to shed light on the state-of-the-art in NP coreference resolution by teasing apart the differences in the MUC and ACE task definitions, the assumptions made in evaluation ...
Extending a machine learning based coreference resolution system with a feature capturing automatically generated information about semantic roles improves its performance.
Schema heterogeneity issues often represent an obstacle for discovering coreference links between individuals in semantic data repositories. In this paper we present an approach, w...
Andriy Nikolov, Victoria S. Uren, Enrico Motta, An...
To address semantic ambiguities in coreference resolution, we use Web n-gram features that capture a range of world knowledge in a diffuse but robust way. Specifically, we exploi...