Work

Borrowing Words: Transfer Learning for Reported Speech Detection in Slovenian News Texts

Year: 2024

Type: conference-paper

Abstract: This paper describes the development of a reported speech classifier for Slovenian news texts using transfer learning.Due to a lack of Slovenian training data, multilingual models were trained on English and German reported speech datasets, reaching an F-score of 66.8 on a small manually annotated Slovenian news dataset and a manual error analysis was performed.While the developed model captures many aspects of reported speech, further refinement and annotated data would be needed to reliably predict less frequent instances, such as indirect speech and nominalizations.

Source: Slovenian KDD Conference on Data Mining and Data Warehouses (SiKDD)

DOI: 10.70314/is.2024.sikdd.21

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Javna Agencija za Raziskovalno Dejavnost RS

Awards: Hate speech in contemporary conceptualizations of nationalism, racism, gender and migration, Equality and human rights in times of global governance

OpenAlex ID: W4402661069

FWCI:

Cites: 5

Cited by:

Related to: 10