3,902 research outputs found

    Automatic extension of Gene Ontology with flexible identification of candidate terms

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    This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Bioinformatics following peer review. The definitive publisher-authenticated version is available online at: http://bioinformatics.oxfordjournals.org/cgi/reprint/22/6/665Motivation: Gene Ontology (GO) has been manually developed to provide a controlled vocabulary for gene product attributes. It continues to evolve with new concepts that are compiled mostly from existing concepts in a compositional way. If we consider the relatively slow growth rate of GO in the face of the fast accumulation of the biological data, it is much desirable to provide an automatic means for predicting new concepts from the existing ones. Results: We present a novel method that predicts more detailed concepts by utilizing syntactic relations among the existing concepts. We propose a validation measure for the automatically predicted concepts by matching the concepts to biomedical articles. We also suggest how to find a suitable direction for the extension of a constantly growing ontology such as GO.This work was supported by MOST/KOSEF through AITrc

    Real Time Synthesis of Multimedia Tales in Korean with Combinatory Categorial Grammar

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    현재 인터넷을 통하여 제공되고 있는 멀티동화는 텍스트 형태의 동화와 함께 이와 관련된 애니메이션 음성 정보를 사전에 제작한 뒤에 사용자에게 제시하는 방법을 택하고 있다. 본 논문에서는 자연언어처리 기법을 이용하여 텍스트 형태의 한국어 동화를 실시간으로 분석한 뒤 그 내용을 삼차원 애니메이션으로 제시하는 멀티 동화 제작 시스템을 소개한다. 이 시스템은 줄거리가 완성된 동화뿐만 아니라 사용자가 변경한 줄거리를 가지는 동화에 대해서도 이에 따른 삼차원 애니메이션을 제시하여 보다 사용자 친화적인 인터페이스를 제공할 뿐만 아니라 사용자가 묘사하는 텍스트 형태의 내용을 입력받아 이에 맞는 애니메이션을 제시하여야 하는 많은 분야에서 응용될 수 있다. 본 논문에서는 이와 같은 실시간 멀티 동화 제작 시스템을 구현할 때 해결하여야 하는 문제점들을 알아보고 이에 해결 방안과 구현에 대하여 논의한다

    Supplementary_Material_915024 - Changes in mortality hazard of the Korean long-term dialysis population: The dependencies of time and modality switch

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    Supplementary_Material_915024 for Changes in mortality hazard of the Korean long-term dialysis population: The dependencies of time and modality switch by Jong Cheol Jeong, Sejoong Kim, Ki Pyo Kim, Yongjin Yi, Shin Young Ahn, Dong-Chan Jin, Ho Jun Chin, Dong-Wan Chae and Ki Young Na in Peritoneal Dialysis International</p

    BioIE: Retargetable information extraction and ontological annotation of biological interactions from the literature

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    The need for extracting general biological interactions of arbitrary types from the rapidly growing volume of the biomedical literature is drawing increased attention, while the need for this much diversity also requires both a robust treatment of complex linguistic phenomena and a method to consistently characterize the results. We present a biomedical information extraction system, BioIE, to address both of these needs by utilizing a full-fledged English grammar formalism, or a combinatory categorial grammar, and by annotating the results with the terms of Gene Ontology, which provides a common and controlled vocabulary. BioIE deals with complex linguistic phenomena such as coordination, relative structures, acronyms, appositive structures, and anaphoric expressions. In order to deal with real-world syntactic variations of ontological terms, BioIE utilizes the syntactic dependencies between words in sentences as well, based on the observation that the component words in an ontological term usually appear in a sentence with known patterns of syntactic dependencies. ? Imperial College Press.

    ACR887593 Supplemetal Material2 - Supplemental material for MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis

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    Supplemental material, ACR887593 Supplemetal Material2 for MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis by Chong Hyun Suh, Seung Chai Jung, Se Jin Cho, Dong-Cheol Woo, Woo Yong Oh, Jong Gu Lee and Kyung Won Kim in Acta Radiologica</p

    ACR887593 Supplemetal Material1 - Supplemental material for MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis

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    Supplemental material, ACR887593 Supplemetal Material1 for MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis by Chong Hyun Suh, Seung Chai Jung, Se Jin Cho, Dong-Cheol Woo, Woo Yong Oh, Jong Gu Lee and Kyung Won Kim in Acta Radiologica</p

    ACR887593 Supplemetal Material3 - Supplemental material for MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis

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    Supplemental material, ACR887593 Supplemetal Material3 for MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis by Chong Hyun Suh, Seung Chai Jung, Se Jin Cho, Dong-Cheol Woo, Woo Yong Oh, Jong Gu Lee and Kyung Won Kim in Acta Radiologica</p
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