An Effective Approach for Violence Detection using Deep Learning and Natural Language Processing

Kumari, V. S. R.; Memon, Khuhed; Aslam, Baber; Chowdhry, Bhawani Shankar

doi:10.1109/imtic58887.2023.10178618

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Modern models, such as BERT (Mridha et al, 2021), have been substantially altered and used in these studies. These evolving investigations are encouraging us to use these modern approaches for low-resource lan-guages like Bangla (Keya et al, 2023;Kumari et al, 2023). Changing studies have provided new perspectives on violence recognition in Bangla Caselli et al, 2020) and expanded our knowledge of it.…”

Section: Related Workmentioning

confidence: 99%

Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)

2023

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Although Spanish is one of the most spoken languages in the world, it was only until very recently that the development of linguistic technologies for it had a strong boost. However, this is not entirely true for some of its Latin American variants, such as the Mexican Spanish, which show phonetic, and also some lexical and semantic differences with respect to peninsular Spanish. This talk will focus on presenting the development of NLP for Mexican Spanish, emphasizing the path taken through the organization of different evaluation campaigns. It will present some data about Mexican Spanish as well as about the impact of the organization of shared tasks in the context of IberLEF for the development of the NLP area in our country, first as a mechanism to motivate more students to get involved, and then as a vehicle to build resources and design and implement specific methods. The talk will conclude by exposing some of the obstacles faced, our main achievements, and some plans for the coming years.Bio: Manuel Montes is Full Professor at the National Institute of Astrophysics, Optics and Electronics (INAOE) of Mexico. His research is on automatic text processing. He is author of more than 250 journal and conference papers in the fields of information retrieval, text mining and authorship analysis. He has been visiting professor at the Polytechnic University of Valencia (Spain), and the University of Alabama (USA). He is also member of the Mexican Academy of Sciences (AMC), and founding member of the Mexican Academy of Computer Science (AMEXCOMP), and the Mexican Association of Natural Language Processing (AMNLP). In the context of the latter, he has been the organizer of

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Section: Related Workmentioning

confidence: 99%

Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)

2023

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“…Modern models, such as BERT (Mridha et al, 2021), have been substantially altered and used in these studies. These evolving investigations are encouraging us to use these modern approaches for low-resource lan-guages like Bangla (Keya et al, 2023;Kumari et al, 2023). Changing studies have provided new perspectives on violence recognition in Bangla (Jahan et al, 2022;Caselli et al, 2020) and expanded our knowledge of it.…”

Section: Related Workmentioning

confidence: 99%

Team_Syrax at BLP-2023 Task 1: Data Augmentation and Ensemble Based Approach for Violence Inciting Text Detection in Bangla

Riyad,

Chakraborty,

Dey

2023

Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)

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This paper describes our participation in Task 1 (VITD) of BLP Workshop 1 at EMNLP 2023, focused on the detection and categorization of threats linked to violence, which could potentially encourage more violent actions. Our approach involves fine-tuning of pre-trained transformer models and employing techniques like self-training with external data, data augmentation through back-translation, and ensemble learning (bagging and majority voting). Notably, self-training improves performance when applied to data from external source but not when applied to the test-set. Our analysis highlights the effectiveness of ensemble methods and data augmentation techniques in Bangla Text Classification. Our system initially scored 0.70450 and ranked 19th among the participants but post-competition experiments boosted our score to 0.72740.

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An Effective Approach for Violence Detection using Deep Learning and Natural Language Processing

Cited by 2 publications

References 12 publications

Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)

Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)

Team_Syrax at BLP-2023 Task 1: Data Augmentation and Ensemble Based Approach for Violence Inciting Text Detection in Bangla

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