JOURNAL ARTICLE

Ensemble Semantics for Large-scale Unsupervised Relation Extraction

Bonan MinShuming ShiRalph GrishmanChin-Yew Lin

Year: 2012 Journal:   Empirical Methods in Natural Language Processing Vol: 2013 Pages: 1027-1037

Abstract

Venous thromboembolism has been associated with antipsychotic drugs, but the underlying mechanisms are largely unknown. Hypotheses that have been made include body weight gain, sedation, enhanced platelet aggregation, increased levels of antiphospholipid antibodies, hyperhomocysteinemia, whereas hyperprolactinemia has recently attracted attention as a potential contributing factor. The highest risk has been demonstrated for clozapine, olanzapine, and low-potency first-generation antipsychotics; however, presently there is no data for amisulpride. In the present paper we describe a case of pulmonary embolism in a female bipolar patient, receiving treatment with amisulpride, aripiprazole, and paroxetine. Although a contribution of aripiprazole and paroxetine cannot completely be ruled out, the most probable factor underlying the thromboembolic event seems to be hyperprolactinemia, which was caused by amisulpride treatment. Increased plasma levels of prolactin should probably be taken into account during the monitoring of antipsychotic treatment as well as in future research concerning venous thromboembolism in psychiatric settings.

Keywords:
Computer science Relation (database) Polysemy Relationship extraction Semantics (computer science) Set (abstract data type) Artificial intelligence Scale (ratio) Natural language processing Machine learning Data mining

Metrics

49
Cited By
5.40
FWCI (Field Weighted Citation Impact)
44
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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