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Found 16 papers, 8 papers with code
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing
We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python.
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models
In this paper, we explore the effects of language variants, data sizes, and fine-tuning task types in Arabic pre-trained language models.
Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation
We also define the task of multi-class Arabic grammatical error detection (GED) and present the first results on multi-class Arabic GED.
Gender-Aware Reinflection using Linguistically Enhanced Neural Models
In this paper, we present an approach for sentence-level gender reinflection using linguistically enhanced sequence-to-sequence models.
CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization
This paper presents CrisisLTLSum, the largest dataset of local crisis event timelines available to date.
User-Centric Gender Rewriting
In this paper, we define the task of gender rewriting in contexts involving two users (I and/or You) - first and second grammatical persons with independent grammatical gender preferences.
Personalized Text Generation with Fine-Grained Linguistic Control
As the text generation capabilities of large language models become increasingly prominent, recent studies have focused on controlling particular aspects of the generated text to make it more personalized.
mEdIT: Multilingual Text Editing via Instruction Tuning
We introduce mEdIT, a multi-lingual extension to CoEdIT -- the recent state-of-the-art text editing models for writing assistance.
Mapping Areas using Computer Vision Algorithms and Drones
The goal of this paper is to implement a system, titled as Drone Map Creator (DMC) using Computer Vision techniques.
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding
In this work, we establish strong baselines for event temporal relation extraction on two under-explored story narrative datasets: Richer Event Description (RED) and Causal and Temporal Relation Scheme (CaTeRS).
The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses
Much of the research on this issue has focused on mitigating gender bias in English NLP models and systems.
Zero-shot Cross-Linguistic Learning of Event Semantics
Typologically diverse languages offer systems of lexical and grammatical aspect that allow speakers to focus on facets of event structure in ways that comport with the specific communicative setting and discourse constraints they face.
The User-Aware Arabic Gender Rewriter
We introduce the User-Aware Arabic Gender Rewriter, a user-centric web-based system for Arabic gender rewriting in contexts involving two users.
Arabic Word-level Readability Visualization for Assisted Text Simplification
This demo paper presents a Google Docs add-on for automatic Arabic word-level readability visualization.
The Shared Task on Gender Rewriting
In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language Processing Workshop.
Perception, performance, and detectability of conversational artificial intelligence across 32 university courses
Moreover, current AI-text classifiers cannot reliably detect ChatGPT's use in school work, due to their propensity to classify human-written answers as AI-generated, as well as the ease with which AI-generated text can be edited to evade detection.
