Paying more attention to self-attention: Improving pre-trained language models via attention guiding
S Wang, Z Chen, Z Ren, H Liang, Q Yan… - arXiv preprint arXiv …, 2022 - arxiv.org
Pre-trained language models (PLM) have demonstrated their effectiveness for a broad
range of information retrieval and natural language processing tasks. As the core part of …
range of information retrieval and natural language processing tasks. As the core part of …
MarSan at SemEval-2022 task 11: Multilingual complex named entity recognition using T5 and transformer encoder
The multilingual complex named entity recognition task of SemEval2020 required
participants to detect semantically ambiguous and complex entities in 11 languages. In …
participants to detect semantically ambiguous and complex entities in 11 languages. In …
Text feature-based copyright recognition method for comics
H Xin, X Jin - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
With the rise of the digital comic industry, pirated comic works have also emerged. Textual
plagiarism, mainly in terms of character language, is gradually increasing, mainly in terms of …
plagiarism, mainly in terms of character language, is gradually increasing, mainly in terms of …
A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on -dimensional Classes
A Benfenati, A Marta - arXiv preprint arXiv:2404.06104, 2024 - arxiv.org
Neural networks are playing a crucial role in everyday life, with the most modern generative
models able to achieve impressive results. Nonetheless, their functioning is still not very …
models able to achieve impressive results. Nonetheless, their functioning is still not very …
An Empirical Exploration on Enhancing BioMedical Question Answering with Recursive Embedding Fine Tuned Model
MKP Kumar, NS Naik, MN Babu - Authorea Preprints, 2024 - techrxiv.org
The emergence of ChatGPT in late 2022 has rendered generative discourse models
essential to daily living. The increasing user expectations have elevated the necessity to …
essential to daily living. The increasing user expectations have elevated the necessity to …
Measuring Semantic Similarity of Persian Sentences Using ParsBERT Model
A Zareshahi, MA Javadzade… - 2024 10th International …, 2024 - ieeexplore.ieee.org
Semantic similarity is a subset of natural language processing in artificial intelligence that
examines the similarity between two texts in terms of meaning. It has various applications …
examines the similarity between two texts in terms of meaning. It has various applications …