<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="goyal-etal-2017-empirical">
    <titleInfo>
        <title>An Empirical Analysis of Edit Importance between Document Versions</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Tanya</namePart>
        <namePart type="family">Goyal</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Sachin</namePart>
        <namePart type="family">Kelkar</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Manas</namePart>
        <namePart type="family">Agarwal</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jeenu</namePart>
        <namePart type="family">Grover</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Martha</namePart>
            <namePart type="family">Palmer</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Rebecca</namePart>
            <namePart type="family">Hwa</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Sebastian</namePart>
            <namePart type="family">Riedel</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Copenhagen, Denmark</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper, we present a novel approach to infer significance of various textual edits to documents. An author may make several edits to a document; each edit varies in its impact to the content of the document. While some edits are surface changes and introduce negligible change, other edits may change the content/tone of the document significantly. In this paper, we perform an analysis on the human perceptions of edit importance while reviewing documents from one version to the next. We identify linguistic features that influence edit importance and model it in a regression based setting. We show that the predicted importance by our approach is highly correlated with the human perceived importance, established by a Mechanical Turk study.</abstract>
    <identifier type="citekey">goyal-etal-2017-empirical</identifier>
    <identifier type="doi">10.18653/v1/D17-1295</identifier>
    <location>
        <url>https://aclanthology.org/D17-1295</url>
    </location>
    <part>
        <date>2017-09</date>
        <extent unit="page">
            <start>2780</start>
            <end>2784</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T An Empirical Analysis of Edit Importance between Document Versions
%A Goyal, Tanya
%A Kelkar, Sachin
%A Agarwal, Manas
%A Grover, Jeenu
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F goyal-etal-2017-empirical
%X In this paper, we present a novel approach to infer significance of various textual edits to documents. An author may make several edits to a document; each edit varies in its impact to the content of the document. While some edits are surface changes and introduce negligible change, other edits may change the content/tone of the document significantly. In this paper, we perform an analysis on the human perceptions of edit importance while reviewing documents from one version to the next. We identify linguistic features that influence edit importance and model it in a regression based setting. We show that the predicted importance by our approach is highly correlated with the human perceived importance, established by a Mechanical Turk study.
%R 10.18653/v1/D17-1295
%U https://aclanthology.org/D17-1295
%U https://doi.org/10.18653/v1/D17-1295
%P 2780-2784

Markdown (Informal)

[An Empirical Analysis of Edit Importance between Document Versions](https://aclanthology.org/D17-1295) (Goyal et al., EMNLP 2017)

• An Empirical Analysis of Edit Importance between Document Versions (Goyal et al., EMNLP 2017)

ACL

• Tanya Goyal, Sachin Kelkar, Manas Agarwal, and Jeenu Grover. 2017. An Empirical Analysis of Edit Importance between Document Versions. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2780–2784, Copenhagen, Denmark. Association for Computational Linguistics.