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Arabic Fine-Grained Entity Recognition
Traditional NER systems are typically trained to recognize coarse-grained entities, and less attention is given to classifying entities …
Haneen Liqreina
,
Mustafa Jarrar
,
Mohammed Khalilia
,
Ahmed El-Shangiti
,
Muhammad Abdul-Mageed
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ArBanking77: Intent Detection Neural Model and a New Dataset in Modern and Dialectical Arabic
This paper presents the ArBanking77, a large Arabic dataset for intent detection in the banking domain. Our dataset was arabized and …
Mustafa Jarrar
,
Ahmet Birim
,
Mohammed Khalilia
,
Mustafa Erden
,
Sana Ghanem
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SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarks
SALMA, the first Arabic sense-annotated corpus, consists of 34K tokens, which are all sense-annotated. The corpus is annotated using …
Mustafa Jarrar
,
Sanad Malaysha
,
Tymaa Hammouda
,
Mohammed Khalilia
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Slides
WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task
We present WojoodNER-2023, the first Arabic Named Entity Recognition (NER) Shared Task. The primary focus of WojoodNER 2023 is on …
Mustafa Jarrar
,
Muhammad Abdul-Mageed
,
Mohammed Khalilia
,
Bashar Talafha
,
AbdelRahim Elmadany
,
Nagham Hamad
,
Alaa' Omar
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Offensive Hebrew Corpus and Detection using BERT
Offensive language detection has been well studied in many languages, but it is lagging behind in low-resource languages, such as …
Nagham Hamad
,
Mustafa Jarrar
,
Mohammed Khalilia
,
Nadim Nashif
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Context-Gloss Augmentation for Improving Arabic Target Sense Verification
Arabic language lacks semantic datasets and sense inventories. The most common semantically-labeled dataset for Arabic is the …
Sanad Malaysha
,
Mustafa Jarrar
,
Mohammed Khalilia
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Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT
This paper presents Wojood, a corpus for Arabic nested Named Entity Recognition (NER). Nested entities occur when one entity mention is …
Mustafa Jarrar
,
Mohammed Khalilia
,
Sana Ghanem
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Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service
Comprehend Medical is a stateless and Health Insurance Portability and Accountability Act (HIPAA) eligible Named Entity Recognition …
Parminder Bhatia
,
Busra Celikkaya
,
Mohammed Khalilia
,
Selvan Senthivel
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DOI
Joint Entity Extraction and Assertion Detection for Clinical Text
Negative medical findings are prevalent in clinical reports, yet discriminating them from positive findings remains a challenging task …
Parminder Bhatia
,
Busra Celikkaya
,
Mohammed Khalilia
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DOI
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning
Clinical text provides essential information to estimate the acuity of a patient during hospital stays in addition to structured …
Mengqi Jin
,
Mohammad Taha Bahadori
,
Aaron Colak
,
Parminder Bhatia
,
Busra Celikkaya
,
Ram Bhakta
,
Selvan Senthivel
,
Mohammed Khalilia
,
Daniel Navarro
,
Borui Zhang
,
Tiberiu Doman
,
Arun Ravi
,
Matthieu Liger
,
Taha Kass-hout
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