Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures

Adam Roussel

doi:10.63317/26p8zoerpa3d

Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures

Correct Metadata for

Use this form to create a GitHub issue with structured data describing the correction. You will need a GitHub account. Once you create that issue, the correction will be reviewed by a staff member.

⚠️ Mobile Users: Submitting this form to create a new issue will only work with github.com, not the GitHub Mobile app.

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>. You may use ... for bold, ... for italic, ... for underline, <sc>...</sc> for small-caps, <tt>...<tt> for typewriter text, <url>...</url> for URLs, <a href=...> for hyperlinks, and <par/> for paragraph breaks.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the external publication .)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Abstract

In this paper we introduce an example-based method for exploring dependency treebanks that is based on principles of vector symbolic architectures. It leverages key properties of this framework to provide fast and flexible search capabilities, since all combinations of query parameters can be compared with a given parse tree in parallel via a single vector operation. The framework also allows for graded similarity and the natural integration of various kinds of information, such as word embeddings. After some background on the framework and an explanation of our implementation, we provide a few examples of the system’s output and draw comparisons to similar applications.

Anthology ID:: 2026.slide-1.5
Volume:: Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)
Month:: May
Year:: 2026
Address:: Palma de Mallorca, Spain
Editors:: Erhard Hinrichs, Joakim Nivre, Petya Osenova, James Pustejovsky, Claus Zinn
Venues:: SLiDE | WS
SIG:
Publisher:: ELRA Language Resources Association (ELRA)
Note:
Pages:: 64–73
Language:
External URL:: https://lrec.elra.info/lrec2026-ws-slide-05
DOI:: 10.63317/26p8zoerpa3d
Bibkey:
Cite (ACL):: Adam Roussel. 2026. Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures. In Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE), pages 64–73, Palma de Mallorca, Spain. ELRA Language Resources Association (ELRA).
Cite (Informal):: Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures (Roussel, SLiDE 2026)
Copy Citation:

External Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{roussel-2026-fast,
    title = "Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures",
    author = "Roussel, Adam",
    editor = "Hinrichs, Erhard  and
      Nivre, Joakim  and
      Osenova, Petya  and
      Pustejovsky, James  and
      Zinn, Claus",
    booktitle = "Proceedings of the Workshop on Structured Linguistic Data and Evaluation ({SL}i{DE})",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://aclanthology.org/2026.slide-1.5/",
    doi = "10.63317/26p8zoerpa3d",
    pages = "64--73",
    abstract = "In this paper we introduce an example-based method for exploring dependency treebanks that is based on principles of vector symbolic architectures. It leverages key properties of this framework to provide fast and flexible search capabilities, since all combinations of query parameters can be compared with a given parse tree in parallel via a single vector operation. The framework also allows for graded similarity and the natural integration of various kinds of information, such as word embeddings. After some background on the framework and an explanation of our implementation, we provide a few examples of the system{'}s output and draw comparisons to similar applications."
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="roussel-2026-fast">
    <titleInfo>
        <title>Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Adam</namePart>
        <namePart type="family">Roussel</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 Workshop on Structured Linguistic Data and Evaluation (SLiDE)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Erhard</namePart>
            <namePart type="family">Hinrichs</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Joakim</namePart>
            <namePart type="family">Nivre</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Petya</namePart>
            <namePart type="family">Osenova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">James</namePart>
            <namePart type="family">Pustejovsky</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Claus</namePart>
            <namePart type="family">Zinn</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ELRA Language Resources Association (ELRA)</publisher>
            <place>
                <placeTerm type="text">Palma de Mallorca, Spain</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper we introduce an example-based method for exploring dependency treebanks that is based on principles of vector symbolic architectures. It leverages key properties of this framework to provide fast and flexible search capabilities, since all combinations of query parameters can be compared with a given parse tree in parallel via a single vector operation. The framework also allows for graded similarity and the natural integration of various kinds of information, such as word embeddings. After some background on the framework and an explanation of our implementation, we provide a few examples of the system’s output and draw comparisons to similar applications.</abstract>
    <identifier type="citekey">roussel-2026-fast</identifier>
    <identifier type="doi">10.63317/26p8zoerpa3d</identifier>
    <location>
        <url>https://aclanthology.org/2026.slide-1.5/</url>
    </location>
    <part>
        <date>2026-05</date>
        <extent unit="page">
            <start>64</start>
            <end>73</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures
%A Roussel, Adam
%Y Hinrichs, Erhard
%Y Nivre, Joakim
%Y Osenova, Petya
%Y Pustejovsky, James
%Y Zinn, Claus
%S Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma de Mallorca, Spain
%F roussel-2026-fast
%X In this paper we introduce an example-based method for exploring dependency treebanks that is based on principles of vector symbolic architectures. It leverages key properties of this framework to provide fast and flexible search capabilities, since all combinations of query parameters can be compared with a given parse tree in parallel via a single vector operation. The framework also allows for graded similarity and the natural integration of various kinds of information, such as word embeddings. After some background on the framework and an explanation of our implementation, we provide a few examples of the system’s output and draw comparisons to similar applications.
%R 10.63317/26p8zoerpa3d
%U https://aclanthology.org/2026.slide-1.5/
%U https://doi.org/10.63317/26p8zoerpa3d
%P 64-73

Download as File

Markdown (Informal)

[Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures](https://aclanthology.org/2026.slide-1.5/) (Roussel, SLiDE 2026)

Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures (Roussel, SLiDE 2026)

ACL

Adam Roussel. 2026. Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures. In Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE), pages 64–73, Palma de Mallorca, Spain. ELRA Language Resources Association (ELRA).