@inproceedings{bos-2023-sequence,
title = "The Sequence Notation: Catching Complex Meanings in Simple Graphs",
author = "Bos, Johan",
editor = "Amblard, Maxime and
Breitholtz, Ellen",
booktitle = "Proceedings of the 15th International Conference on Computational Semantics",
month = jun,
year = "2023",
address = "Nancy, France",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.iwcs-1.20",
pages = "195--208",
abstract = "Current symbolic semantic representations proposed to capture the semantics of human language have served well to give us insight in how meaning is expressed. But they are either too complicated for large-scale annotation tasks or lack expressive power to play a role in inference tasks. What we propose is a meaning representation system that it is interlingual, model-theoretic, and variable-free. It divides the labour involved in representing meaning along three levels: concept, roles, and contexts. As natural languages are expressed as sequences of phonemes or words, the meaning representations that we propose are likewise sequential. However, the resulting meaning representations can also be visualised as directed acyclic graphs.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="bos-2023-sequence">
<titleInfo>
<title>The Sequence Notation: Catching Complex Meanings in Simple Graphs</title>
</titleInfo>
<name type="personal">
<namePart type="given">Johan</namePart>
<namePart type="family">Bos</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2023-06</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 15th International Conference on Computational Semantics</title>
</titleInfo>
<name type="personal">
<namePart type="given">Maxime</namePart>
<namePart type="family">Amblard</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ellen</namePart>
<namePart type="family">Breitholtz</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Nancy, France</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Current symbolic semantic representations proposed to capture the semantics of human language have served well to give us insight in how meaning is expressed. But they are either too complicated for large-scale annotation tasks or lack expressive power to play a role in inference tasks. What we propose is a meaning representation system that it is interlingual, model-theoretic, and variable-free. It divides the labour involved in representing meaning along three levels: concept, roles, and contexts. As natural languages are expressed as sequences of phonemes or words, the meaning representations that we propose are likewise sequential. However, the resulting meaning representations can also be visualised as directed acyclic graphs.</abstract>
<identifier type="citekey">bos-2023-sequence</identifier>
<location>
<url>https://aclanthology.org/2023.iwcs-1.20</url>
</location>
<part>
<date>2023-06</date>
<extent unit="page">
<start>195</start>
<end>208</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T The Sequence Notation: Catching Complex Meanings in Simple Graphs
%A Bos, Johan
%Y Amblard, Maxime
%Y Breitholtz, Ellen
%S Proceedings of the 15th International Conference on Computational Semantics
%D 2023
%8 June
%I Association for Computational Linguistics
%C Nancy, France
%F bos-2023-sequence
%X Current symbolic semantic representations proposed to capture the semantics of human language have served well to give us insight in how meaning is expressed. But they are either too complicated for large-scale annotation tasks or lack expressive power to play a role in inference tasks. What we propose is a meaning representation system that it is interlingual, model-theoretic, and variable-free. It divides the labour involved in representing meaning along three levels: concept, roles, and contexts. As natural languages are expressed as sequences of phonemes or words, the meaning representations that we propose are likewise sequential. However, the resulting meaning representations can also be visualised as directed acyclic graphs.
%U https://aclanthology.org/2023.iwcs-1.20
%P 195-208
Markdown (Informal)
[The Sequence Notation: Catching Complex Meanings in Simple Graphs](https://aclanthology.org/2023.iwcs-1.20) (Bos, IWCS 2023)
ACL