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Document Structure in Long Document Transformers

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Files

infusion_datasets.zip (84.99 MB)
 probing_datasets.zip (166.18 MB)
 eacl2024-doc-structure-main.zip (Code) (3.21 MB)
 README.md (README) (4.52 KB)

Date

2024-01-26

Type

Text

Authors

Buchmann, Jan
Eichler, Max
Bodensohn, Jan-Micha
Kuznetsov, Ilia
Gurevych, Iryna

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

This repository contains the code and data for the paper "Document Structure in Long Document Transformers", accepted at EACL 2024. Please see README.md for more information.

Keywords

Intertext, Document structure, LED, LongT5, Probing, QASPER, Evidence inference

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4111

Endorsement

DFG Classification

4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren
4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing

Project(s)

EC/HE | 101054961 | InterText

Faculty

Collections

License

CC BY 4.0 - Attribution 4.0 International
Except where otherwise noted, this license is described as CC BY 4.0 - Attribution 4.0 International