Literature DB >> 22343015

Anaphoric reference in clinical reports: characteristics of an annotated corpus.

Wendy W Chapman1, Guergana K Savova, Jiaping Zheng, Melissa Tharp, Rebecca Crowley.   

Abstract

MOTIVATION: Expressions that refer to a real-world entity already mentioned in a narrative are often considered anaphoric. For example, in the sentence "The pain comes and goes," the expression "the pain" is probably referring to a previous mention of pain. Interpretation of meaning involves resolving the anaphoric reference: deciding which expression in the text is the correct antecedent of the referring expression, also called an anaphor. We annotated a set of 180 clinical reports (surgical pathology, radiology, discharge summaries, and emergency department) from two institutions to indicate all anaphor-antecedent pairs.
OBJECTIVE: The objective of this study is to describe the characteristics of the corpus in terms of the frequency of anaphoric relations, the syntactic and semantic nature of the members of the pairs, and the types of anaphoric relations that occur. Understanding how anaphoric reference is exhibited in clinical reports is critical to developing reference resolution algorithms and to identifying peculiarities of clinical text that may alter the features and methodologies that will be successful for automated anaphora resolution.
RESULTS: We found that anaphoric reference is prevalent in all types of clinical reports, that annotations of noun phrases, semantic type, and section headings may be especially important for automated resolution of anaphoric reference, and that separate modules for reference resolution may be required for different report types, different institutions, and different types of anaphors. Accurate resolution will probably require extensive domain knowledge-especially for pathology and radiology reports with more part/whole and set/subset relations.
CONCLUSION: We hope researchers will leverage the annotations in this corpus to develop automated algorithms and will add to the annotations to generate a more extensive corpus.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22343015     DOI: 10.1016/j.jbi.2012.01.010

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  7 in total

1.  Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules.

Authors:  Siddhartha Reddy Jonnalagadda; Dingcheng Li; Sunghwan Sohn; Stephen Tze-Inn Wu; Kavishwar Wagholikar; Manabu Torii; Hongfang Liu
Journal:  J Am Med Inform Assoc       Date:  2012-06-16       Impact factor: 4.497

2.  Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).

Authors:  David A Hanauer; Qiaozhu Mei; James Law; Ritu Khanna; Kai Zheng
Journal:  J Biomed Inform       Date:  2015-05-13       Impact factor: 6.317

3.  Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction.

Authors:  Wen-Wai Yim; Sharon W Kwan; Meliha Yetisgen
Journal:  J Biomed Inform       Date:  2016-10-08       Impact factor: 6.317

4.  NCBI disease corpus: a resource for disease name recognition and concept normalization.

Authors:  Rezarta Islamaj Doğan; Robert Leaman; Zhiyong Lu
Journal:  J Biomed Inform       Date:  2014-01-03       Impact factor: 6.317

5.  Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles.

Authors:  K Bretonnel Cohen; Arrick Lanfranchi; Miji Joo-Young Choi; Michael Bada; William A Baumgartner; Natalya Panteleyeva; Karin Verspoor; Martha Palmer; Lawrence E Hunter
Journal:  BMC Bioinformatics       Date:  2017-08-17       Impact factor: 3.169

6.  Current approaches to identify sections within clinical narratives from electronic health records: a systematic review.

Authors:  Alexandra Pomares-Quimbaya; Markus Kreuzthaler; Stefan Schulz
Journal:  BMC Med Res Methodol       Date:  2019-07-18       Impact factor: 4.615

7.  Towards comprehensive syntactic and semantic annotations of the clinical narrative.

Authors:  Daniel Albright; Arrick Lanfranchi; Anwen Fredriksen; William F Styler; Colin Warner; Jena D Hwang; Jinho D Choi; Dmitriy Dligach; Rodney D Nielsen; James Martin; Wayne Ward; Martha Palmer; Guergana K Savova
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

  7 in total

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