Overview of the Mowjaz Multi-Topic Labelling Task

Mahmoud Al-Ayyoub,Haitham Seelawi, Mohamed Zaghlol,Hussein T. Al-Natsheh, Samer Suileman,Ali Fadel,Riham Badawi, Ahmed Morsy,Ibraheem Tuffaha,Mohannad Aljarrah

2021 12th International Conference on Information and Communication Systems (ICICS)（2021）

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Abstract

Multilabel text classification is an important task in Natural Language Processing (NLP). One use case of such a task is in categorizing news articles, where each article may belong to one or more classes. In this work, we present the ICICS2021 Mowjaz Multi-Topic Labelling Task. Given a piece of news, systems participating in this task are expected to select its topic(s). The systems are evaluated...

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Key words

Support vector machines,Recurrent neural networks,Atmospheric measurements,Error analysis,Text categorization,Particle measurements,Natural language processing

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