@inproceedings{tan-2026-vupmc,
title = "{VUPMC}: A New Political Metaphor Corpus in {M}andarin {C}hinese",
author = "Tan, Xiaojuan",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.940/",
doi = "10.63317/5exd4mc9kh4d",
pages = "12007--12018",
abstract = "This article proposes the Conventional and Novel Metaphor Identification Procedure (CNMIP) for Mandarin Chinese and applies this replicable protocol to annotate the VUPMC dataset, a new Political Metaphor Corpus developed at VU University Amsterdam. The VUPMC corpus contains three Chinese political genres (Policy Documents, Remarks, News Reports) and includes over 220,000 tokens of concordance sentences for the node word 贸易 `trade'. The corpus analysis shows that 6.64{\%} of lexical units in the VUPMC dataset are used as metaphor-related words (MRWs) to frame trade (e.g., using `war' to frame trade as a war). Further tests show that distributions of MRWs differ significantly across genres and Parts of Speech. Similarities in MRW distributions between the VUPMC and other datasets confirm the reliability of the CNMIP procedure. The differences, however, highlight the methodological advances in manual annotation of conventional and novel MRWs as well as the distinctive features of Chinese political genres. The VUPMC dataset serves as a valuable language resource for computational detection of Chinese conventional and novel metaphors."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="tan-2026-vupmc">
<titleInfo>
<title>VUPMC: A New Political Metaphor Corpus in Mandarin Chinese</title>
</titleInfo>
<name type="personal">
<namePart type="given">Xiaojuan</namePart>
<namePart type="family">Tan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2026-05</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Fifteenth Language Resources and Evaluation Conference</title>
</titleInfo>
<name type="personal">
<namePart type="given">Stelios</namePart>
<namePart type="family">Piperidis</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Núria</namePart>
<namePart type="family">Bel</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Henk</namePart>
<namePart type="family">van den Heuvel</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Nancy</namePart>
<namePart type="family">Ide</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Simon</namePart>
<namePart type="family">Krek</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Antonio</namePart>
<namePart type="family">Toral</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>ELRA Language Resource Association</publisher>
<place>
<placeTerm type="text">Palma de Mallorca, Spain</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This article proposes the Conventional and Novel Metaphor Identification Procedure (CNMIP) for Mandarin Chinese and applies this replicable protocol to annotate the VUPMC dataset, a new Political Metaphor Corpus developed at VU University Amsterdam. The VUPMC corpus contains three Chinese political genres (Policy Documents, Remarks, News Reports) and includes over 220,000 tokens of concordance sentences for the node word 贸易 ‘trade’. The corpus analysis shows that 6.64% of lexical units in the VUPMC dataset are used as metaphor-related words (MRWs) to frame trade (e.g., using ‘war’ to frame trade as a war). Further tests show that distributions of MRWs differ significantly across genres and Parts of Speech. Similarities in MRW distributions between the VUPMC and other datasets confirm the reliability of the CNMIP procedure. The differences, however, highlight the methodological advances in manual annotation of conventional and novel MRWs as well as the distinctive features of Chinese political genres. The VUPMC dataset serves as a valuable language resource for computational detection of Chinese conventional and novel metaphors.</abstract>
<identifier type="citekey">tan-2026-vupmc</identifier>
<identifier type="doi">10.63317/5exd4mc9kh4d</identifier>
<location>
<url>https://aclanthology.org/2026.lrec-1.940/</url>
</location>
<part>
<date>2026-05</date>
<extent unit="page">
<start>12007</start>
<end>12018</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T VUPMC: A New Political Metaphor Corpus in Mandarin Chinese
%A Tan, Xiaojuan
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F tan-2026-vupmc
%X This article proposes the Conventional and Novel Metaphor Identification Procedure (CNMIP) for Mandarin Chinese and applies this replicable protocol to annotate the VUPMC dataset, a new Political Metaphor Corpus developed at VU University Amsterdam. The VUPMC corpus contains three Chinese political genres (Policy Documents, Remarks, News Reports) and includes over 220,000 tokens of concordance sentences for the node word 贸易 ‘trade’. The corpus analysis shows that 6.64% of lexical units in the VUPMC dataset are used as metaphor-related words (MRWs) to frame trade (e.g., using ‘war’ to frame trade as a war). Further tests show that distributions of MRWs differ significantly across genres and Parts of Speech. Similarities in MRW distributions between the VUPMC and other datasets confirm the reliability of the CNMIP procedure. The differences, however, highlight the methodological advances in manual annotation of conventional and novel MRWs as well as the distinctive features of Chinese political genres. The VUPMC dataset serves as a valuable language resource for computational detection of Chinese conventional and novel metaphors.
%R 10.63317/5exd4mc9kh4d
%U https://aclanthology.org/2026.lrec-1.940/
%U https://doi.org/10.63317/5exd4mc9kh4d
%P 12007-12018
Markdown (Informal)
[VUPMC: A New Political Metaphor Corpus in Mandarin Chinese](https://aclanthology.org/2026.lrec-1.940/) (Tan, LREC 2026)
ACL