Abstract: Coreference resolution recently plays a more and more important role for many natural language processing tasks. In this paper, we propose two methods for the biomedical coreference ...

Patient discharge summaries provide detailed medical information about hospitalized patients and are a rich resource of data for clinical record text mining. The textual expressions of this ...

Zheng et al provide a good review of the literature on coreference resolution in the clinical domain. 17 Wang et al evaluated pronominal coreference for the words ‘it,’ ‘this,’ and ‘that’ within 1000 ...

Abstract: Most research in the field of anaphora or coreference detection has been limited to noun phrase coreference, usually on a restricted set of entities, such as ACE entities. In part, this has ...

This is especially true when it comes to language because language is ambiguous. Common sense enables us to fill in the semantic blanks when a statement doesn’t fully specify what it describes.

Neural coreference resolution models trained on one dataset may not transfer to new, low-resource domains. Active learning mitigates this problem by sampling a small subset of data for annotators to ...

This repository is the implementation of the paper "Data-driven Coreference-based Ontology Building". It focuses on constructing biomedical ontology automatically by analyzing coreference resolution ...