AlphaBrains at WojoodNER shared task: Arabic Named Entity Recognition by Using Character-based Context-Sensitive Word Representations
Year: 2023
Type: conference-paper
Abstract: This paper presents Arabic named entity recognition models by employing single-task and multi-task learning paradigms.The models were developed by using character-based contextualized Embeddings from Language Model (ELMo) in the input layers of the Bidirectional Long-Short Term Memory (BiLSTM) networks.The ELMo embeddings are quite capable of learning the morphology and contextual information of tokens in word sequences.The single-task learning model outperformed the multi-task learning model, achieving micro F 1 -scores of 0.8751 and 0.8884, respectively, ranking 10 th and 7 th in the shared task for flat and nested NER.
Authors: Toqeer Ehsan, Amjad Ali, Ala Al-Fuqaha
Institutions: University of Gujrat, Hamad bin Khalifa University
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4389518248