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Found 7 papers, 5 papers with code
Automatically Discarding Straplines to Improve Data Quality for Abstractive News Summarization
Automatic evaluation indicates that removing straplines and noise from the training data of a news summarizer results in higher quality summaries, with improvements as high as 7 points ROUGE score.
SMASH at Qur’an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering Scenarios
The Qur’an QA 2022 shared task aims at assessing the possibility of building systems that can extract answers to religious questions given relevant passages from the Holy Qur’an.
Arabic Dialect Identification under Scrutiny: Limitations of Single-label Classification
Automatic Arabic Dialect Identification (ADI) of text has gained great popularity since it was introduced in the early 2010s.
ALDi: Quantifying the Arabic Level of Dialectness of Text
Transcribed speech and user-generated text in Arabic typically contain a mixture of Modern Standard Arabic (MSA), the standardized language taught in schools, and Dialectal Arabic (DA), used in daily communications.
DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models
A new benchmark DLAMA-v1 is built of factual triples from three pairs of contrasting cultures having a total of 78, 259 triples from 20 relation predicates.
ASU\_OPTO at OSACT4 - Offensive Language Detection for Arabic text
In the past years, toxic comments and offensive speech are polluting the internet and manual inspection of these comments is becoming a tiresome task to manage.
An Unsupervised Method for Weighting Finite-state Morphological Analyzers
In this paper, we have developed a method for weighting a morphological analyzer built using finite state transducers in order to disambiguate its results.
