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Digital Humanities and Cultural Heritage Publications National Institutes of Health

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696 research outcomes, page 1 of 70
  • publication . Preprint . Conference object . 2021
    Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
    Open Access English
    Authors:
    Junheng Hao; Muhao Chen; Wenchao Yu; Yizhou Sun; Wei Wang;
    Persistent Identifiers

    doi: 10.1145/3292500.3330838

    Project: NSF | NRT-HDR: Modeling and Und... (1829071), NIH | Fast and Robust Methods f... (5R01GM115833-02), NSF | CAREER: Mining and Explor... (1741634), NSF | III: Medium: Collaborativ... (1705169), NIH | Mining the Social Web to ... (5U01HG008488-02)

    Many large-scale knowledge bases simultaneously represent two views of knowledge graphs (KGs): an ontology view for abstract and commonsense concepts, and an instance view for specific entities that are instantiated from ontological concepts. Existing KG embedding model...

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  • publication . Conference object . Preprint . 2021
    AutoMeTS: The Autocomplete for Medical Text Simplification
    Open Access
    Authors:
    Hoang Van; David Kauchak; Gondy Leroy;
    Persistent Identifiers

    doi: 10.18653/v1/2020.coling-main.122

    Publisher: International Committee on Computational Linguistics
    Project: NIH | Evidence-based Strategy a... (5R01LM011975-04)

    Comment: 9 pages, 3 figures, and 8 tables, Accpeted to COLING 2020

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  • publication . Other literature type . Preprint . Article . 2020
    Extracting COVID-19 Diagnoses and Symptoms From Clinical Text: A New Annotated Corpus and Neural Event Extraction Framework
    Open Access English
    Authors:
    Kevin Lybarger; Mari Ostendorf; Matthew Thompson; Meliha Yetisgen;
    Persistent Identifiers

    doi: 10.1016/j.jbi.2021.103761

    pmc: PMC7724670 , PMC7997694

    pmid: 33299904 , 33781918

    Publisher: Cornell University
    Project: NIH | Transform Dissemination a... (3UL1TR002319-02S1)

    Graphical abstract

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  • publication . Conference object . Preprint . 2020
    Are Some Words Worth More than Others?
    Open Access
    Authors:
    Shiran Dudy; Steven Bedrick;
    Persistent Identifiers

    doi: 10.18653/v1/2020.eval4nlp-1.13

    Publisher: Association for Computational Linguistics
    Project: NIH | Algorithmic Classificatio... (1R01DC015999-01A1)

    Comment: EMNLP 2020 Eval4NLP Workshop

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  • publication . Article . Other literature type . 2020
    A tutorial and tool for exploring feature similarity gradients with MRI data
    Open Access English
    Authors:
    Claude J. Bajada; Lucas Q Costa Campos; Svenja Caspers; Richard Muscat; Geoff J.M. Parker; Matthew A. Lambon Ralph; Lauren L. Cloutman; Nelson J. Trujillo-Barreto;
    Persistent Identifiers

    doi: 10.31234/osf.io/7vzbk , 10.17863/cam.54760 , 10.1016/j.neuroimage.2020.117140

    handle: 2128/25357

    pmc: PMC7116330

    pmid: 32650053

    Project: NIH | Mapping the Human Connect... (3U54MH091657-03S1), UKRI | Imaging dynamical brain n... (EP/N006771/1), EC | HBP SGA3 (945539), UKRI | Quantification of vascula... (EP/M005909/1), EC | HBP SGA2 (785907), UKRI | BB/J014478/1 (BB/J014478/1)

    There has been an increasing interest in examining organisational principles of the cerebral cortex (and subcortical regions) using different MRI features such as structural or functional connectivity. Despite the widespread interest, introductory tutorials on the under...

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  • publication . Conference object . Preprint . 2020
    Biomedical Event Extraction with Hierarchical Knowledge Graphs
    Open Access
    Authors:
    Kung-Hsiang Huang; Mu Yang; Nanyun Peng;
    Persistent Identifiers

    doi: 10.18653/v1/2020.findings-emnlp.114

    Publisher: Association for Computational Linguistics
    Project: NIH | Evidence Extraction Syste... (1R01LM012592-01)

    Comment: 8 pages, 3 figures, Findings of EMNLP 2020 (short)

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  • publication . Article . Preprint . 2020
    Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text
    Open Access
    Authors:
    Yadan Fan; Sicheng Zhou; Yifan Li; Rui Zhang;
    Persistent Identifiers

    doi: 10.1093/jamia/ocaa218

    Publisher: Oxford University Press (OUP)
    Project: NIH | An Informatics Framework ... (1R01AT009457-01), NIH | University of Minnesota C... (1UL1TR002494-01)

    <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Objective</jats:title> <jats:p>We sought to demonstrate the feasibility of utilizing deep learning models to extract safety signals related to the use of dietary supplements (DSs) in clinical text.</jats:p> </jats...

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  • publication . Preprint . Conference object . Other literature type . 2020
    Calibrating Structured Output Predictors for Natural Language Processing
    Open Access English
    Authors:
    Abhyuday Jagannatha; Hong Yu;
    Persistent Identifiers

    doi: 10.18653/v1/2020.acl-main.188

    pmc: PMC7890517

    pmid: 33612961

    Project: NIH | EHR Anticoagulants Pharma... (5R01HL125089-06)

    We address the problem of calibrating prediction confidence for output entities of interest in natural language processing (NLP) applications. It is important that NLP applications such as named entity recognition and question answering produce calibrated confidence sco...

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  • publication . Preprint . Part of book or chapter of book . 2020
    Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
    Open Access English
    Authors:
    Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Zongwei Zhou; Michael B. Gotway; Jianming Liang;
    Persistent Identifiers

    doi: 10.1007/978-3-030-59710-8_14

    Project: NIH | Computer-Aided Diagnosis ... (1R01HL128785-01A1)

    Comment: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020)

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  • publication . Preprint . Conference object . 2020
    Contextual Embeddings: When Are They Worth It?
    Open Access English
    Authors:
    Simran Arora; Avner May; Jian Zhang; Christopher Ré;
    Persistent Identifiers

    doi: 10.18653/v1/2020.acl-main.236

    Project: NIH | Mobility Data Integration... (5U54EB020405-02), NSF | AF: Medium: Collaborative... (1763315)

    We study the settings for which deep contextual embeddings (e.g., BERT) give large improvements in performance relative to classic pretrained embeddings (e.g., GloVe), and an even simpler baseline---random word embeddings---focusing on the impact of the training set siz...

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696 research outcomes, page 1 of 70