The article introduces ‘G-SciEdBERT’, a contextualized German Science Education BERT developed for scoring written responses to science questions in German. It is trained on a corpus of 50K German written…
Continue readingThe paper presents a method for explaining text classifiers using counterfactual representations. Counterfactuals are hypothetical events identical to real observations except for one categorical feature. Constructing counterfactuals for texts poses…
Continue readingThe paper focuses on the use of Transformer-based language models, specifically BERT and (Chat)GPT, in detecting semantic changes in language over time. This is a crucial aspect in understanding historical…
Continue readingThe study, conducted by a team from the Indian Institute of Technology and National Institute of Technology, focused on using BERT and LightGBM models for binary classification of self-reported COVID-19…
Continue readingThe research paper presents L3Cube-IndicNews, a multilingual text classification corpus specifically focusing on news headlines and articles in Indian regional languages. This includes Hindi, Bengali, Marathi, Telugu, Tamil, Gujarati, Kannada,…
Continue readingThe research paper presents the work of Team Shayona on two tasks of SMMH4-23. Task 1 involved the binary classification of English tweets self-reporting a COVID-19 diagnosis, and Task 4…
Continue readingThis article presents L3Cube-IndicNews, a multilingual text classification corpus aimed at creating a high-quality dataset for Indian regional languages. The focus is on news headlines and articles in 10 prominent…
Continue readingThe research explores the use of models such as BERT and HuBERT in dimensional speech emotion recognition. Despite their large dimensionality, these models are frequently used for emotion recognition tasks,…
Continue readingThe research investigates how the deep learning model, BERT, conjugates verbs. It shows that BERT’s ability to conjugate verbs is determined by a linear encoding of subject number. This encoding…
Continue readingThe paper investigates the effects of disruptions to peer-to-peer communications on decentralized learning in a disaster setting. The authors examine the resilience of a decentralized learning process when a subset…
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