Lexical Normalization Using Generative Transformer Model (LN-GTM)

Autor: Mohamed Ashmawy, Mohamed Waleed Fakhr, Fahima A. Maghraby

Publikováno v: International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-11 (2023)

Abstract Lexical Normalization (LN) aims to normalize a nonstandard text to a standard text. This problem is of extreme importance in natural language processing (NLP) when applying existing trained models to user-generated text on social media. User

Externí odkaz: https://doaj.org/article/aaa015ee281944c18bc108bdd141de5d

Data-Driven Lexical Normalization for Medical Social Media

Autor: Anne Dirkson, Suzan Verberne, Abeed Sarker, Wessel Kraaij

Publikováno v: Multimodal Technologies and Interaction, Vol 3, Iss 3, p 60 (2019)

In the medical domain, user-generated social media text is increasingly used as a valuablecomplementary knowledge source to scientific medical literature. The extraction of this knowledge iscomplicated by colloquial language use and misspellings. How

Externí odkaz: https://doaj.org/article/97866c664c4944b6b3234099971567e3

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Data-Driven Lexical Normalization for Medical Social Media

Autor: Dirkson, A.R., Verberne, S., Sarker, A., Kraaij, W.

Publikováno v: Multimodal Technologies and Interaction, Vol 3, Iss 3, p 60 (2019)
Multimodal Technologies and Interaction, 3(3), 60. MDPI

In the medical domain, user-generated social media text is increasingly used as a valuablecomplementary knowledge source to scientific medical literature. The extraction of this knowledge iscomplicated by colloquial language use and misspellings. How

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4421d5b36d25f6a70559d6888d94fe83
https://hdl.handle.net/1887/77332

Normalización léxica de tweets en español con componentes basados en reglas y modelos de lenguaje

Autor: Pablo Ruiz Fabo, Montse Cuadros, Thierry Etchegoyhen

Publikováno v: Procesamiento del Lenguaje Natural
Procesamiento del Lenguaje Natural, Sociedad Espanola para el Procesamiento del Lenguaje Natural, 2014, pp.8
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Scopus-Elsevier
HAL

This paper presents a system to normalize Spanish tweets, which uses preprocessing rules, a domain-appropriate edit-distance model, and language models to select correction candidates based on context. The system is an improvement on the tool we subm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7eccbaf3cd140c1c8a4d48f374583fed
https://hal.archives-ouvertes.fr/hal-01099241/file/4902-4167-1-PB.pdf