Universidad Autónoma de Madrid

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251 a 260 de 948 Resultados

FNS_2023.pdf 1 abr 2025 - The financial narrative summarisation shared task (FNS 2022 & 2023): Datasets Adobe PDF - 221,2 KB - MD5: 62d2718538183d7eb14bff92072b4b5c DocumentaciónDocumentation The corresponding PDF file with the main publication of the competition (2023)
readme_en.txt 1 abr 2025 - The financial narrative summarisation shared task (FNS 2022 & 2023): Datasets Texto plano - 8,4 KB - MD5: 4db8ecbe9182ff19a7e71a5ea768685f DocumentaciónDocumentation
readme_es.txt 1 abr 2025 - The financial narrative summarisation shared task (FNS 2022 & 2023): Datasets Texto plano - 9,1 KB - MD5: 0c6967e12380fe519d8a4ee7416b9c17 DocumentaciónDocumentation
resources.pdf 1 abr 2025 - The financial narrative summarisation shared task (FNS 2022 & 2023): Datasets Adobe PDF - 2,4 MB - MD5: 70185178d188dafbe5bcbd4c6cf6ae0e DocumentaciónDocumentation This file summarizes the resources created during the CLARA-FINT project
Discourse markers: Annotation guidelines 28 mar 2025 - CLARA-FINT: Computational Linguistics Approaches to Readability and Automatic Simplification in Financial Narrative Moreno-Sandoval, Antonio; Porta, Jordi; García Toro, Ana, 2025, "Discourse markers: Annotation guidelines", https://doi.org/10.21950/NWANNV, e-cienciaDatos, V1 This work is framed in the Spanish national project CLARA-FINT. The aim of this task within the project was to create an automatic discourse markers extractor for Spanish. In order to do so, the first step was to create these Annotation Guidelines to apply linguistic annotation o...
guia-anot-md.pdf 28 mar 2025 - Discourse markers: Annotation guidelines Adobe PDF - 1,5 MB - MD5: fe6b366cc4ff31661a29c10d085801d8 DataDatos The annotation guideline document
readme_en.txt 28 mar 2025 - Discourse markers: Annotation guidelines Texto plano - 4,7 KB - MD5: e14469b96ad01eb60617f1db7b14c633 DocumentaciónDocumentation
The financial document causality detection shared task (FinCausal 2023): Dataset 27 mar 2025 - CLARA-FINT: Computational Linguistics Approaches to Readability and Automatic Simplification in Financial Narrative Moreno-Sandoval, Antonio; Carbajo-Coronado, Blanca; Porta, Jordi, 2025, "The financial document causality detection shared task (FinCausal 2023): Dataset", https://doi.org/10.21950/2JOAZJ, e-cienciaDatos, V1 The Financial Document Causality Detection Task (FinCausal 2023) aims at improving the causality in the financial domain trough its texts. Participants are asked to identify, in causal sentences, which elements of the sentence relate to the cause, and which relate to the effect....
AnnotationGuidelines-FinCausal-ES.pdf 27 mar 2025 - The financial document causality detection shared task (FinCausal 2023): Dataset Adobe PDF - 170,4 KB - MD5: 729bda5f1f32ca607adf583308a302a2 DocumentaciónDocumentation This file contains everything needed to start the task, as well as the annotation guidelines that served as a reference for the linguists to annotate the causality and thus generate the competition dataset.
FINCAUSAL_2023.pdf 27 mar 2025 - The financial document causality detection shared task (FinCausal 2023): Dataset Adobe PDF - 125,4 KB - MD5: e58a3a10790ab3a30c597e61f292ea4b DocumentaciónDocumentation The main paper of the competition.

FNS_2023.pdf

1 abr 2025 - The financial narrative summarisation shared task (FNS 2022 & 2023): Datasets

Adobe PDF - 221,2 KB -

DocumentaciónDocumentation

The corresponding PDF file with the main publication of the competition (2023)

readme_en.txt

1 abr 2025 - The financial narrative summarisation shared task (FNS 2022 & 2023): Datasets

Texto plano - 8,4 KB -

DocumentaciónDocumentation

readme_es.txt

1 abr 2025 - The financial narrative summarisation shared task (FNS 2022 & 2023): Datasets

Texto plano - 9,1 KB -

DocumentaciónDocumentation

resources.pdf

1 abr 2025 - The financial narrative summarisation shared task (FNS 2022 & 2023): Datasets

Adobe PDF - 2,4 MB -

DocumentaciónDocumentation

This file summarizes the resources created during the CLARA-FINT project

Discourse markers: Annotation guidelines

28 mar 2025 - CLARA-FINT: Computational Linguistics Approaches to Readability and Automatic Simplification in Financial Narrative

Moreno-Sandoval, Antonio; Porta, Jordi; García Toro, Ana, 2025, "Discourse markers: Annotation guidelines", https://doi.org/10.21950/NWANNV, e-cienciaDatos, V1

This work is framed in the Spanish national project CLARA-FINT. The aim of this task within the project was to create an automatic discourse markers extractor for Spanish. In order to do so, the first step was to create these Annotation Guidelines to apply linguistic annotation o...

guia-anot-md.pdf

28 mar 2025 - Discourse markers: Annotation guidelines

Adobe PDF - 1,5 MB -

DataDatos

The annotation guideline document

readme_en.txt

28 mar 2025 - Discourse markers: Annotation guidelines

Texto plano - 4,7 KB -

DocumentaciónDocumentation

The financial document causality detection shared task (FinCausal 2023): Dataset

27 mar 2025 - CLARA-FINT: Computational Linguistics Approaches to Readability and Automatic Simplification in Financial Narrative

Moreno-Sandoval, Antonio; Carbajo-Coronado, Blanca; Porta, Jordi, 2025, "The financial document causality detection shared task (FinCausal 2023): Dataset", https://doi.org/10.21950/2JOAZJ, e-cienciaDatos, V1

The Financial Document Causality Detection Task (FinCausal 2023) aims at improving the causality in the financial domain trough its texts. Participants are asked to identify, in causal sentences, which elements of the sentence relate to the cause, and which relate to the effect....

AnnotationGuidelines-FinCausal-ES.pdf

27 mar 2025 - The financial document causality detection shared task (FinCausal 2023): Dataset

Adobe PDF - 170,4 KB -

DocumentaciónDocumentation

This file contains everything needed to start the task, as well as the annotation guidelines that served as a reference for the linguists to annotate the causality and thus generate the competition dataset.

FINCAUSAL_2023.pdf

27 mar 2025 - The financial document causality detection shared task (FinCausal 2023): Dataset

Adobe PDF - 125,4 KB -

DocumentaciónDocumentation

The main paper of the competition.

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