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Found 20 papers, 4 papers with code
QADI: Arabic Dialect Identification in the Wild
For extrinsic evaluation, we are able to build effective country level dialect identification on tweets with a macro-averaged F1-score of 60. 6% across 18 classes.
Adult Content Detection on Arabic Twitter: Analysis and Experiments
With Twitter being one of the most popular social media platforms in the Arab region, it is not surprising to find accounts that post adult content in Arabic tweets; despite the fact that these platforms dissuade users from such content.
UL2C: Mapping User Locations to Countries on Arabic Twitter
Mapping user locations to countries can be useful for many applications such as dialect identification, author profiling, recommendation system, etc.
DisCGen: A Framework for Discourse-Informed Counterspeech Generation
In this work, we propose a novel framework based on theories of discourse to study the inferential links that connect counter speeches to the hateful comment.
MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations
In this paper, we present a novel dataset (MedNgage), which consists of patient-nurse conversations about cancer symptom management.
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
While active learning (AL) has shown promise in training models with a small amount of annotated data, AL's reliance on the model's behavior for selective sampling can lead to an accumulation of unwanted bias rather than bias mitigation.
Multilingual Content Moderation: A Case Study on Reddit
Content moderation is the process of flagging content based on pre-defined platform rules.
APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations
Then, we introduce the first discourse-aware style-transfer models that can effectively reduce offensiveness in Reddit text while preserving the meaning of the original text.
Modeling Intensification for Sign Language Generation: A Computational Approach
To employ our strategies, we first annotate a subset of the benchmark PHOENIX-14T, a German Sign Language dataset, with different levels of intensification.
Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech
We evaluate our models on external datasets - a Twitter dataset collected using a completely different method, and a multi-platform dataset containing comments from Twitter, YouTube and Facebook, for assessing generalization capability.
ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination
We studied the data for individual types of tweets and temporal changes in stance towards vaccine.
Cross-lingual Emotion Detection
Next, we show that using cross-lingual approaches with English data alone, we can achieve more than 90% and 80% relative effectiveness of the Arabic and Spanish BERT models respectively.
ASAD: Arabic Social media Analytics and unDerstanding
This system demonstration paper describes ASAD: Arabic Social media Analysis and unDerstanding, a suite of seven individual modules that allows users to determine dialects, sentiment, news category, offensiveness, hate speech, adult content, and spam in Arabic tweets.
Pre-Training BERT on Arabic Tweets: Practical Considerations
The experiments highlight the centrality of data diversity and the efficacy of linguistically aware segmentation.
ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic
Over the past few months, there were huge numbers of circulating tweets and discussions about Coronavirus (COVID-19) in the Arab region.
ALT at SemEval-2020 Task 12: Arabic and English Offensive Language Identification in Social Media
This paper describes the systems submitted by the Arabic Language Technology group (ALT) at SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media.
Arabic Dialect Identification in the Wild
We present QADI, an automatically collected dataset of tweets belonging to a wide range of country-level Arabic dialects -covering 18 different countries in the Middle East and North Africa region.
Constructing a Bilingual Corpus of Parallel Tweets
In this paper, we introduce a generic method for collecting parallel tweets.
ALT Submission for OSACT Shared Task on Offensive Language Detection
In this paper, we describe our efforts at OSACT Shared Task on Offensive Language Detection.
The MADAR Shared Task on Arabic Fine-Grained Dialect Identification
In this paper, we present the results and findings of the MADAR Shared Task on Arabic Fine-Grained Dialect Identification.
