﻿<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="remijnse-minnema-2020-towards">
    <titleInfo>
        <title>Towards Reference-Aware FrameNet Annotation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Levi</namePart>
        <namePart type="family">Remijnse</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Gosse</namePart>
        <namePart type="family">Minnema</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-may</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <language>
        <languageTerm type="text">English</languageTerm>
        <languageTerm type="code" authority="iso639-2b">eng</languageTerm>
    </language>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet</title>
        </titleInfo>
        <originInfo>
            <publisher>European Language Resources Association</publisher>
            <place>
                <placeTerm type="text">Marseille, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-10-95546-58-0</identifier>
    </relatedItem>
    <abstract>In this paper, we introduce the task of using FrameNet to link structured information about real-world events to the conceptual frames used in texts describing these events. We show that frames made relevant by the knowledge of the real-world event can be captured by complementing standard lexicon-driven FrameNet annotations with frame annotations derived through pragmatic inference. We propose a two-layered annotation scheme with a ‘strict’ FrameNet-compatible lexical layer and a ‘loose’ layer capturing frames that are inferred from referential data.</abstract>
    <identifier type="citekey">remijnse-minnema-2020-towards</identifier>
    <location>
        <url>https://www.aclweb.org/anthology/2020.framenet-1.3</url>
    </location>
    <part>
        <date>2020-may</date>
        <extent unit="page">
            <start>13</start>
            <end>22</end>
        </extent>
    </part>
</mods>
</modsCollection>
