<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="wiedemann-etal-2018-multilingual">
    <titleInfo>
        <title>A Multilingual Information Extraction Pipeline for Investigative Journalism</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Gregor</namePart>
        <namePart type="family">Wiedemann</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Seid</namePart>
        <namePart type="given">Muhie</namePart>
        <namePart type="family">Yimam</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Chris</namePart>
        <namePart type="family">Biemann</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Eduardo</namePart>
            <namePart type="family">Blanco</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Wei</namePart>
            <namePart type="family">Lu</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Brussels, Belgium</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We introduce an advanced information extraction pipeline to automatically process very large collections of unstructured textual data for the purpose of investigative journalism. The pipeline serves as a new input processor for the upcoming major release of our New/s/leak 2.0 software, which we develop in cooperation with a large German news organization. The use case is that journalists receive a large collection of files up to several Gigabytes containing unknown contents. Collections may originate either from official disclosures of documents, e.g. Freedom of Information Act requests, or unofficial data leaks.</abstract>
    <identifier type="citekey">wiedemann-etal-2018-multilingual</identifier>
    <identifier type="doi">10.18653/v1/D18-2014</identifier>
    <location>
        <url>https://aclanthology.org/D18-2014</url>
    </location>
    <part>
        <date>2018-11</date>
        <extent unit="page">
            <start>78</start>
            <end>83</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T A Multilingual Information Extraction Pipeline for Investigative Journalism
%A Wiedemann, Gregor
%A Yimam, Seid Muhie
%A Biemann, Chris
%Y Blanco, Eduardo
%Y Lu, Wei
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F wiedemann-etal-2018-multilingual
%X We introduce an advanced information extraction pipeline to automatically process very large collections of unstructured textual data for the purpose of investigative journalism. The pipeline serves as a new input processor for the upcoming major release of our New/s/leak 2.0 software, which we develop in cooperation with a large German news organization. The use case is that journalists receive a large collection of files up to several Gigabytes containing unknown contents. Collections may originate either from official disclosures of documents, e.g. Freedom of Information Act requests, or unofficial data leaks.
%R 10.18653/v1/D18-2014
%U https://aclanthology.org/D18-2014
%U https://doi.org/10.18653/v1/D18-2014
%P 78-83

Markdown (Informal)

[A Multilingual Information Extraction Pipeline for Investigative Journalism](https://aclanthology.org/D18-2014) (Wiedemann et al., EMNLP 2018)

• A Multilingual Information Extraction Pipeline for Investigative Journalism (Wiedemann et al., EMNLP 2018)

ACL

• Gregor Wiedemann, Seid Muhie Yimam, and Chris Biemann. 2018. A Multilingual Information Extraction Pipeline for Investigative Journalism. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 78–83, Brussels, Belgium. Association for Computational Linguistics.