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        <title>Zero-shot Trajectory Mapping in Holocaust Testimonies</title>
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    <name type="personal">
        <namePart type="given">Eitan</namePart>
        <namePart type="family">Wagner</namePart>
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    <name type="personal">
        <namePart type="given">Renana</namePart>
        <namePart type="family">Keydar</namePart>
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    <name type="personal">
        <namePart type="given">Omri</namePart>
        <namePart type="family">Abend</namePart>
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            <title>Proceedings of the First Workshop on Holocaust Testimonies as Language Resources (HTRes) @ LREC-COLING 2024</title>
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        <name type="personal">
            <namePart type="given">Isuri</namePart>
            <namePart type="family">Anuradha</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Martin</namePart>
            <namePart type="family">Wynne</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Francesca</namePart>
            <namePart type="family">Frontini</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Alistair</namePart>
            <namePart type="family">Plum</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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    <abstract>This work presents the task of Zero-shot Trajectory Mapping, which focuses on the spatial dimension of narratives. The task consists of two parts: (1) creating a “map” with all the locations mentioned in a set of texts, and (2) extracting a trajectory from a single testimony and positioning it within the map. Following recent advances in context length capabilities of large language models, we propose a pipeline for this task in a completely unsupervised manner, without the requirement of any type of labels. We demonstrate the pipeline on a set of \approx 75 testimonies and present the resulting map and samples of the trajectory. We conclude that current long-range models succeed in generating meaningful maps and trajectories. Other than the visualization and indexing, we propose future directions for adaptation of the task as a step for dividing testimony sets into clusters and for alignment between parallel parts of different testimonies.</abstract>
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%0 Conference Proceedings
%T Zero-shot Trajectory Mapping in Holocaust Testimonies
%A Wagner, Eitan
%A Keydar, Renana
%A Abend, Omri
%Y Anuradha, Isuri
%Y Wynne, Martin
%Y Frontini, Francesca
%Y Plum, Alistair
%S Proceedings of the First Workshop on Holocaust Testimonies as Language Resources (HTRes) @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F wagner-etal-2024-zero
%X This work presents the task of Zero-shot Trajectory Mapping, which focuses on the spatial dimension of narratives. The task consists of two parts: (1) creating a “map” with all the locations mentioned in a set of texts, and (2) extracting a trajectory from a single testimony and positioning it within the map. Following recent advances in context length capabilities of large language models, we propose a pipeline for this task in a completely unsupervised manner, without the requirement of any type of labels. We demonstrate the pipeline on a set of \approx 75 testimonies and present the resulting map and samples of the trajectory. We conclude that current long-range models succeed in generating meaningful maps and trajectories. Other than the visualization and indexing, we propose future directions for adaptation of the task as a step for dividing testimony sets into clusters and for alignment between parallel parts of different testimonies.
%U https://aclanthology.org/2024.htres-1.9
%P 63-70

Markdown (Informal)

[Zero-shot Trajectory Mapping in Holocaust Testimonies](https://aclanthology.org/2024.htres-1.9) (Wagner et al., htres-WS 2024)

• Zero-shot Trajectory Mapping in Holocaust Testimonies (Wagner et al., htres-WS 2024)

ACL

• Eitan Wagner, Renana Keydar, and Omri Abend. 2024. Zero-shot Trajectory Mapping in Holocaust Testimonies. In Proceedings of the First Workshop on Holocaust Testimonies as Language Resources (HTRes) @ LREC-COLING 2024, pages 63–70, Torino, Italia. ELRA and ICCL.