fabsam @ AMI: A Convolutional Neural Network Approach (short paper)

Samuel Fabrizi

fabsam @ AMI: A Convolutional Neural Network Approach (short paper)

Correct Metadata for

Use this form to create a GitHub issue with structured data describing the correction. You will need a GitHub account. Once you create that issue, the correction will be reviewed by a staff member.

⚠️ Mobile Users: Submitting this form to create a new issue will only work with github.com, not the GitHub Mobile app.

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>. You may use ... for bold, ... for italic, ... for underline, <sc>...</sc> for small-caps, <tt>...<tt> for typewriter text, <url>...</url> for URLs, <a href=...> for hyperlinks, and <par/> for paragraph breaks.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the PDF.)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Anthology ID:: 2020.evalita-1.6
Volume:: Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)
Month:: December
Year:: 2020
Address:: Online
Editors:: Valerio Basile, Danilo Croce, Maria Di Maro, Lucia C. Passaro
Venues:: EVALITA | WS
SIG:
Publisher:: CEUR Workshop Proceedings
Note:
Pages:: 26–30
Language:
URL:: https://aclanthology.org/2020.evalita-1.6/
DOI:
Bibkey:
Cite (ACL):: Samuel Fabrizi. 2020. fabsam @ AMI: A Convolutional Neural Network Approach (short paper). In Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), pages 26–30, Online. CEUR Workshop Proceedings.
Cite (Informal):: fabsam @ AMI: A Convolutional Neural Network Approach (short paper) (Fabrizi, EVALITA 2020)
Copy Citation:
PDF:: https://aclanthology.org/2020.evalita-1.6.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{fabrizi-2020-fabsam,
    title = "fabsam @ {AMI}: A Convolutional Neural Network Approach (short paper)",
    author = "Fabrizi, Samuel",
    editor = "Basile, Valerio  and
      Croce, Danilo  and
      Di Maro, Maria  and
      Passaro, Lucia C.",
    booktitle = "Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for {I}talian. Final Workshop ({EVALITA} 2020)",
    month = dec,
    year = "2020",
    address = "Online",
    publisher = "CEUR Workshop Proceedings",
    url = "https://aclanthology.org/2020.evalita-1.6/",
    pages = "26--30",
    ISBN = "979-12-80136-27-5"
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="fabrizi-2020-fabsam">
    <titleInfo>
        <title>fabsam @ AMI: A Convolutional Neural Network Approach (short paper)</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Samuel</namePart>
        <namePart type="family">Fabrizi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-12</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Valerio</namePart>
            <namePart type="family">Basile</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Danilo</namePart>
            <namePart type="family">Croce</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Maria</namePart>
            <namePart type="family">Di Maro</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Lucia</namePart>
            <namePart type="given">C</namePart>
            <namePart type="family">Passaro</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>CEUR Workshop Proceedings</publisher>
            <place>
                <placeTerm type="text">Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-12-80136-27-5</identifier>
    </relatedItem>
    <identifier type="citekey">fabrizi-2020-fabsam</identifier>
    <location>
        <url>https://aclanthology.org/2020.evalita-1.6/</url>
    </location>
    <part>
        <date>2020-12</date>
        <extent unit="page">
            <start>26</start>
            <end>30</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T fabsam @ AMI: A Convolutional Neural Network Approach (short paper)
%A Fabrizi, Samuel
%Y Basile, Valerio
%Y Croce, Danilo
%Y Di Maro, Maria
%Y Passaro, Lucia C.
%S Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)
%D 2020
%8 December
%I CEUR Workshop Proceedings
%C Online
%@ 979-12-80136-27-5
%F fabrizi-2020-fabsam
%U https://aclanthology.org/2020.evalita-1.6/
%P 26-30

Download as File

Markdown (Informal)

[fabsam @ AMI: A Convolutional Neural Network Approach (short paper)](https://aclanthology.org/2020.evalita-1.6/) (Fabrizi, EVALITA 2020)

fabsam @ AMI: A Convolutional Neural Network Approach (short paper) (Fabrizi, EVALITA 2020)

ACL

Samuel Fabrizi. 2020. fabsam @ AMI: A Convolutional Neural Network Approach (short paper). In Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), pages 26–30, Online. CEUR Workshop Proceedings.