Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives.

ABSTRACT:

Objective

This paper presents a coreference resolution system for clinical narratives. Coreference resolution aims at clustering all mentions in a single document to coherent entities.

Materials and methods

A knowledge-intensive approach for coreference resolution is employed. The domain knowledge used includes several domain-specific lists, a knowledge intensive mention parsing, and task informed discourse model. Mention parsing allows us to abstract over the surface form of the mention and represent each mention using a higher-level representation, which we call the mention's semantic representation (SR). SR reduces the mention to a standard form and hence provides better support for comparing and matching. Existing coreference resolution systems tend to ignore discourse a

SUBMITTER: Jindal P 

PROVIDER: S-EPMC3638172 | biostudies-literature | 2013 Mar-Apr

REPOSITORIES: biostudies-literature