<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="zeldes-etal-2026-worth">
    <titleInfo>
        <title>Not Worth Mentioning? A Pilot Study on Salient Proposition Annotation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Amir</namePart>
        <namePart type="family">Zeldes</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Katherine</namePart>
        <namePart type="family">Conhaim</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Lauren</namePart>
        <namePart type="family">Levine</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Yang</namePart>
            <namePart type="given">Janet</namePart>
            <namePart type="family">Liu</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Luke</namePart>
            <namePart type="family">Gessler</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">San Diego, California, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-404-0</identifier>
    </relatedItem>
    <abstract>Despite a long tradition of work on extractive summarization, which by nature aims to recover the most important propositions in a text, little work has been done on operationalizing graded proposition salience in naturally occurring data. In this paper, we adopt graded summarization-based salience as a metric from previous work on Salient Entity Extraction (SEE) and adapt it to quantify proposition salience. We define the annotation task, apply it to a small multi-genre dataset, evaluate agreement and carry out a preliminary study of the relationship between our metric and notions of discourse unit centrality in discourse parsing following Rhetorical Structure Theory (RST).</abstract>
    <identifier type="citekey">zeldes-etal-2026-worth</identifier>
    <location>
        <url>https://aclanthology.org/2026.law-main.14/</url>
    </location>
    <part>
        <date>2026-07</date>
        <extent unit="page">
            <start>178</start>
            <end>186</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Not Worth Mentioning? A Pilot Study on Salient Proposition Annotation
%A Zeldes, Amir
%A Conhaim, Katherine
%A Levine, Lauren
%Y Liu, Yang Janet
%Y Gessler, Luke
%S Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-404-0
%F zeldes-etal-2026-worth
%X Despite a long tradition of work on extractive summarization, which by nature aims to recover the most important propositions in a text, little work has been done on operationalizing graded proposition salience in naturally occurring data. In this paper, we adopt graded summarization-based salience as a metric from previous work on Salient Entity Extraction (SEE) and adapt it to quantify proposition salience. We define the annotation task, apply it to a small multi-genre dataset, evaluate agreement and carry out a preliminary study of the relationship between our metric and notions of discourse unit centrality in discourse parsing following Rhetorical Structure Theory (RST).
%U https://aclanthology.org/2026.law-main.14/
%P 178-186

Markdown (Informal)

[Not Worth Mentioning? A Pilot Study on Salient Proposition Annotation](https://aclanthology.org/2026.law-main.14/) (Zeldes et al., LAW 2026)

• Not Worth Mentioning? A Pilot Study on Salient Proposition Annotation (Zeldes et al., LAW 2026)

ACL

• Amir Zeldes, Katherine Conhaim, and Lauren Levine. 2026. Not Worth Mentioning? A Pilot Study on Salient Proposition Annotation. In Proceedings of the 20th Linguistic Annotation Workshop (LAW XX), pages 178–186, San Diego, California, USA. Association for Computational Linguistics.