Condensing biomedical journal texts through paragraph ranking

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Condensing biomedical journal texts through paragraph ranking

MOTIVATION The growing availability of full-text scientific articles raises the important issue of how to most efficiently digest full-text content. Although article titles and abstracts provide accurate and concise information on an article's contents, their brevity inevitably entails the loss of detail. Full-text articles provide those details, but require more time to read. The primary goal ...

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Data Selection for IT Texts using Paragraph Vector

This paper presents an overview of the system submitted by the University of Hamburg to the IT domain shared translation task as part of the ACL 2016 First Conference of Machine Translation (WMT 2016). We have chosen data selection as a domain adaptation method. The filtering of the general domain data makes use of paragraph vectors as a novel approach for scoring the sentences. Experiments wer...

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An Algorithm For High-Level Organization Of Multi-Paragraph Texts

Our experience with MACH-III [Kurlaud et al 1992] showed us that there is more to multiparagraph text than stringing together isolated well-formed paragraphs. The underlying structure of tile entire text, depicting interparagraph relationships and emphases, must also be determined for suceessfill generation. Fortunately, RST [Mann-Thoml)son 1987] is capable of representing interl)aragraph struc...

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Relevance Ranking for Translated Texts

The usefulness of a translated text for gisting purposes strongly depends on the overall translation quality of the text, but especially on the translation quality of the most informative portions of the text. In this paper we address the problems of ranking translated sentences within a document and ranking translated documents within a set of documents on the same topic according to their inf...

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Journal of Biomedical Informatics

Narrative reports in medical records contain a wealth of information that may augment structured data for managing patient information and predicting trends in diseases. Pertinent negatives are evident in text but are not usually indexed in structured databases. The objective of the study reported here was to test a simple algorithm for determining whether a finding or disease mentioned within ...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2011

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/btr080