Results 11 to 20 of about 5,471 (199)
Review of Recent Trends in the Detection of Hate Speech and Offensive Language on Social Media
Acta Electrotechnica et Informatica, 2022 In the article, we describe recent trends in the detection of hate speech and offensive language on social media. We accord from the latest studies and scientific contributions. The article describes current trends and the most used methods in connection
Sokolová Zuzana +2 more
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BERTino: an Italian DistilBERT model [PDF]
, 2020 1The recent introduction of Transformers language representation models allowed great improvements in many natural language processing (NLP) tasks. However, if on one hand the performances achieved by this kind of architectures are surprising, on the other their usability is limited by the high number of parameters which constitute their network ...
Muffo, Matteo, Bertino, Enrico
openaire +4 more sources
SM-DBERT: A Novel Symptom-based Technique for Chronic Disease Classification using DISTILBERT [PDF]
, 2023 Machine learning and deep learning models when applied on EHR systems are considerably augmenting the prediction tasks performed on medical data. Humongous amount of information lies in the free form clinical texts.
Swati Saigaonkar, et al.
core +2 more sources
Prediction of user loyalty in mobile applications using deep contextualized word representations
Journal of Information and Telecommunication, 2022 Customer loyalty is important for many industries, including banking, telecommunications, gaming, and shopping, in terms of sustainability. In mobile applications, it is observed that the demand rises with the usage of mobile devices such as smartphones.
Zeynep Hilal Kilimci
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Entity matching with transformer architectures - a step forward in data integration [PDF]
, 2020 Transformer architectures have proven to be very effective and provide state-of-the-art results in many natural language tasks. The attention-based architecture in combination with pre-training on large amounts of text lead to the recent breakthrough and
Brunner, Ursin, Stockinger, Kurt
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IEEE Access, 2023 Information and Communication Technologies fueled social networking and facilitated communication. However, cyberbullying on the platform had detrimental ramifications.
Teoh Hwai Teng, Kasturi Dewi Varathan
doaj +1 more source
Quantifying Attention Flow in Transformers [PDF]
, 2020 In the Transformer model, "self-attention" combines information from attended embeddings into the representation of the focal embedding in the next layer.
Abnar, Samira, Zuidema, Willem
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Detecting East Asian Prejudice on Social Media [PDF]
, 2020 The outbreak of COVID-19 has transformed societies across the world as governments tackle the health, economic and social costs of the pandemic. It has also raised concerns about the spread of hateful language and prejudice online, especially hostility ...
Botelho, Austin +8 more
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Emotion Estimation Method Based on Emoticon Image Features and Distributed Representations of Sentences [PDF]
, 2022 This paper proposes an emotion recognition method for tweets containing emoticons using their emoticon image and language features. Some of the existing methods register emoticons and their facial expression categories in a dictionary and use them, while
10243734 +20 more
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The DistilBERT Model: A Promising Approach to Improve Machine Reading Comprehension Models [PDF]
, 2023 Machine Reading Comprehension (MRC) is a challenging task in the field of Natural Language Processing (NLP), where a machine is required to read a given text passage and answer a set of questions based on it.
Agrawal, Pranjal +7 more
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