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Found 7 papers, 2 papers with code
ELERRANT: Automatic Grammatical Error Type Classification for Greek
In this paper, we introduce the Greek version of the automatic annotation tool ERRANT (Bryant et al., 2017), which we named ELERRANT.
LeaningTower@LT-EDI-ACL2022: When Hope and Hate Collide
Task Hope Speech Detection required models for the automatic identification of hopeful comments for equality, diversity, and inclusion.
UniBO at SemEval-2022 Task 5: A Multimodal bi-Transformer Approach to the Binary and Fine-grained Identification of Misogyny in Memes
We present our submission to SemEval 2022 Task 5 on Multimedia Automatic Misogyny Identification.
ERRANT: Assessing and Improving Grammatical Error Type Classification
ERRANT extracts the errors and classifies them into error types, in the form of an edit that can be used in the creation of GEC systems, as well as for grammatical error analysis.
Enriching Grammatical Error Correction Resources for Modern Greek
In addition, we provide an extended version of the Greek Learner Corpus (GLC), on which our model reaches up to 22. 76% F0. 5.
Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology
We introduce the Guideline-Centered annotation process, a novel data annotation methodology focused on reporting the annotation guidelines associated with each data sample.
A Corpus for Sentence-level Subjectivity Detection on English News Articles
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues.
