<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="goodrum-etal-2019-extraction">
    <titleInfo>
        <title>Extraction of Lactation Frames from Drug Labels and LactMed</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Heath</namePart>
        <namePart type="family">Goodrum</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Meghana</namePart>
        <namePart type="family">Gudala</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ankita</namePart>
        <namePart type="family">Misra</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Kirk</namePart>
        <namePart type="family">Roberts</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 18th BioNLP Workshop and Shared Task</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Dina</namePart>
            <namePart type="family">Demner-Fushman</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Kevin</namePart>
            <namePart type="given">Bretonnel</namePart>
            <namePart type="family">Cohen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Sophia</namePart>
            <namePart type="family">Ananiadou</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Junichi</namePart>
            <namePart type="family">Tsujii</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Florence, Italy</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper describes a natural language processing (NLP) approach to extracting lactation-specific drug information from two sources: FDA-mandated drug labels and the NLM Drugs and Lactation Database (LactMed). A frame semantic approach is utilized, and the paper describes the selected frames, their annotation on a set of 900 sections from drug labels and LactMed articles, and the NLP system to extract such frame instances automatically. The ultimate goal of the project is to use such a system to identify discrepancies in lactation-related drug information between these resources.</abstract>
    <identifier type="citekey">goodrum-etal-2019-extraction</identifier>
    <identifier type="doi">10.18653/v1/W19-5020</identifier>
    <location>
        <url>https://aclanthology.org/W19-5020</url>
    </location>
    <part>
        <date>2019-08</date>
        <extent unit="page">
            <start>191</start>
            <end>200</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Extraction of Lactation Frames from Drug Labels and LactMed
%A Goodrum, Heath
%A Gudala, Meghana
%A Misra, Ankita
%A Roberts, Kirk
%Y Demner-Fushman, Dina
%Y Cohen, Kevin Bretonnel
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S Proceedings of the 18th BioNLP Workshop and Shared Task
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F goodrum-etal-2019-extraction
%X This paper describes a natural language processing (NLP) approach to extracting lactation-specific drug information from two sources: FDA-mandated drug labels and the NLM Drugs and Lactation Database (LactMed). A frame semantic approach is utilized, and the paper describes the selected frames, their annotation on a set of 900 sections from drug labels and LactMed articles, and the NLP system to extract such frame instances automatically. The ultimate goal of the project is to use such a system to identify discrepancies in lactation-related drug information between these resources.
%R 10.18653/v1/W19-5020
%U https://aclanthology.org/W19-5020
%U https://doi.org/10.18653/v1/W19-5020
%P 191-200

Markdown (Informal)

[Extraction of Lactation Frames from Drug Labels and LactMed](https://aclanthology.org/W19-5020) (Goodrum et al., BioNLP 2019)

• Extraction of Lactation Frames from Drug Labels and LactMed (Goodrum et al., BioNLP 2019)

ACL

• Heath Goodrum, Meghana Gudala, Ankita Misra, and Kirk Roberts. 2019. Extraction of Lactation Frames from Drug Labels and LactMed. In Proceedings of the 18th BioNLP Workshop and Shared Task, pages 191–200, Florence, Italy. Association for Computational Linguistics.