Universidad Autónoma de Madrid

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2,621 to 2,630 of 3,312 Results

Discourse markers: Annotation guidelines Mar 28, 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 on texts containing said markers. The next step involved the use of the...
guia-anot-md.pdf Mar 28, 2025 - Discourse markers: Annotation guidelines Adobe PDF - 1,5 MB - MD5: fe6b366cc4ff31661a29c10d085801d8 DataDatos The annotation guideline document
readme_en.txt Mar 28, 2025 - Discourse markers: Annotation guidelines Texto plano - 4,7 KB - MD5: e14469b96ad01eb60617f1db7b14c633 DocumentaciónDocumentation
The financial document causality detection shared task (FinCausal 2023): Dataset Mar 27, 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. LLI-UAM is the organizer of the Spanish subtask. The task dataset has...
AnnotationGuidelines-FinCausal-ES.pdf Mar 27, 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 Mar 27, 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.
practice_subtask_es.csv Mar 27, 2025 - The financial document causality detection shared task (FinCausal 2023): Dataset Valores separados por comas - 61,6 KB - MD5: ea437383a1cf773021dcd00dcd28215a DataDatos This file contains a sample dataset in CSV format with the cause-effect relationship
readme_en.txt Mar 27, 2025 - The financial document causality detection shared task (FinCausal 2023): Dataset Texto plano - 7,2 KB - MD5: b3802f0c272c27752597cb58fd5058f4 DocumentaciónDocumentation
readme_es.txt Mar 27, 2025 - The financial document causality detection shared task (FinCausal 2023): Dataset Texto plano - 7,9 KB - MD5: b9c86c2d4c88fe29d54e72586a978095 DocumentaciónDocumentation
resources.pdf Mar 27, 2025 - The financial document causality detection shared task (FinCausal 2023): Dataset Adobe PDF - 2,4 MB - MD5: 70185178d188dafbe5bcbd4c6cf6ae0e DocumentaciónDocumentation This file summarizes the resources created during the CLARA-FINT project

Discourse markers: Annotation guidelines

Mar 28, 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 on texts containing said markers. The next step involved the use of the...

guia-anot-md.pdf

Mar 28, 2025 - Discourse markers: Annotation guidelines

Adobe PDF - 1,5 MB -

DataDatos

The annotation guideline document

readme_en.txt

Mar 28, 2025 - Discourse markers: Annotation guidelines

Texto plano - 4,7 KB -

DocumentaciónDocumentation

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

Mar 27, 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. LLI-UAM is the organizer of the Spanish subtask. The task dataset has...

AnnotationGuidelines-FinCausal-ES.pdf

Mar 27, 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

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

Adobe PDF - 125,4 KB -

DocumentaciónDocumentation

The main paper of the competition.

practice_subtask_es.csv

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

Valores separados por comas - 61,6 KB -

DataDatos

This file contains a sample dataset in CSV format with the cause-effect relationship

readme_en.txt

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

Texto plano - 7,2 KB -

DocumentaciónDocumentation

readme_es.txt

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

Texto plano - 7,9 KB -

DocumentaciónDocumentation

resources.pdf

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

Adobe PDF - 2,4 MB -

DocumentaciónDocumentation

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

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