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Found 6 papers, 2 papers with code
Towards better structured and less noisy Web data: Oscar with Register annotations
Web-crawled datasets are known to be noisy, as they feature a wide range of language use covering both user-generated and professionally edited content as well as noise originating from the crawling process.
Multilingual and Zero-Shot is Closing in on Monolingual Web Register Classification
This article studies register classification of documents from the unrestricted web, such as news articles or opinion blogs, in a multilingual setting, exploring both the benefit of training on multiple languages and the capabilities for zero-shot cross-lingual transfer.
Annotation Guidelines for the Turku Paraphrase Corpus
This document describes the annotation guidelines used to construct the Turku Paraphrase Corpus.
Finnish Paraphrase Corpus
Out of all paraphrase pairs in our corpus 98% are manually classified to be paraphrases at least in their given context, if not in all contexts.
Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers
We explore cross-lingual transfer of register classification for web documents.
From Web Crawl to Clean Register-Annotated Corpora
However, two critical steps in the development of web corpora remain challenging: the identification of clean text from source HTML and the assignment of genre or register information to the documents.
