@inproceedings{murat-etal-2026-event,
title = "Event Chronography in Multi-modal Data: The {BME} Method for Quantitative Analyses",
author = {Murat, Ana{\"i}s Claire and
Koutsombogera, Maria and
Vogel, Carl},
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-1.724/",
doi = "10.63317/3yhonsvzhzq9",
pages = "9217--9225",
abstract = "Methods for investigating multi-modality in human interactions remain open to refinement. Although the annotation process has been facilitated by tools like Elan, synchronising exported cross-tier data for further quantitative analyses remains challenging. We present the BME method: a new approach to data alignment. The idea is straightforward: instead of comparing exact times of onsets, durations, etc., the BME method focuses on their organisation. First, the method describes every annotation by at least two events: its beginning (B) and end (E). Then, it aligns them in chronological order. Middles (M) are precipitated to track events from other tiers which might occur between Bs and Es. We explore three cases in which such an arrangement of multi-modal data can benefit the scientific community: first, in getting insights about the dynamics and dependencies between tiers, second, in contemplating event-based duration rather than time-based ones, and, third, in contributing cross-annotator agreement assessment methods."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="murat-etal-2026-event">
<titleInfo>
<title>Event Chronography in Multi-modal Data: The BME Method for Quantitative Analyses</title>
</titleInfo>
<name type="personal">
<namePart type="given">Anaïs</namePart>
<namePart type="given">Claire</namePart>
<namePart type="family">Murat</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Maria</namePart>
<namePart type="family">Koutsombogera</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Carl</namePart>
<namePart type="family">Vogel</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>Methods for investigating multi-modality in human interactions remain open to refinement. Although the annotation process has been facilitated by tools like Elan, synchronising exported cross-tier data for further quantitative analyses remains challenging. We present the BME method: a new approach to data alignment. The idea is straightforward: instead of comparing exact times of onsets, durations, etc., the BME method focuses on their organisation. First, the method describes every annotation by at least two events: its beginning (B) and end (E). Then, it aligns them in chronological order. Middles (M) are precipitated to track events from other tiers which might occur between Bs and Es. We explore three cases in which such an arrangement of multi-modal data can benefit the scientific community: first, in getting insights about the dynamics and dependencies between tiers, second, in contemplating event-based duration rather than time-based ones, and, third, in contributing cross-annotator agreement assessment methods.</abstract>
<identifier type="citekey">murat-etal-2026-event</identifier>
<identifier type="doi">10.63317/3yhonsvzhzq9</identifier>
<location>
<url>https://aclanthology.org/2026.lrec-1.724/</url>
</location>
<part>
<date>2026-05</date>
<extent unit="page">
<start>9217</start>
<end>9225</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Event Chronography in Multi-modal Data: The BME Method for Quantitative Analyses
%A Murat, Anaïs Claire
%A Koutsombogera, Maria
%A Vogel, Carl
%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 murat-etal-2026-event
%X Methods for investigating multi-modality in human interactions remain open to refinement. Although the annotation process has been facilitated by tools like Elan, synchronising exported cross-tier data for further quantitative analyses remains challenging. We present the BME method: a new approach to data alignment. The idea is straightforward: instead of comparing exact times of onsets, durations, etc., the BME method focuses on their organisation. First, the method describes every annotation by at least two events: its beginning (B) and end (E). Then, it aligns them in chronological order. Middles (M) are precipitated to track events from other tiers which might occur between Bs and Es. We explore three cases in which such an arrangement of multi-modal data can benefit the scientific community: first, in getting insights about the dynamics and dependencies between tiers, second, in contemplating event-based duration rather than time-based ones, and, third, in contributing cross-annotator agreement assessment methods.
%R 10.63317/3yhonsvzhzq9
%U https://aclanthology.org/2026.lrec-1.724/
%U https://doi.org/10.63317/3yhonsvzhzq9
%P 9217-9225
Markdown (Informal)
[Event Chronography in Multi-modal Data: The BME Method for Quantitative Analyses](https://aclanthology.org/2026.lrec-1.724/) (Murat et al., LREC 2026)
ACL