Bringing order into the realm of Transformer-based language models for artificial intelligence and law
CM Greco, A Tagarelli - Artificial Intelligence and Law, 2023 - Springer
Transformer-based language models (TLMs) have widely been recognized to be a cutting-
edge technology for the successful development of deep-learning-based solutions to …
edge technology for the successful development of deep-learning-based solutions to …
Extracting decision trees from medical texts: an overview of the Text2DT track in CHIP2022
This paper presents an overview of the Text2DT shared task 1 held in the CHIP-2022 shared
tasks. The shared task addresses the challenging topic of automatically extracting the …
tasks. The shared task addresses the challenging topic of automatically extracting the …
Mer 2024: Semi-supervised learning, noise robustness, and open-vocabulary multimodal emotion recognition
Multimodal emotion recognition is an important research topic in artificial intelligence.
However, due to problems such as complex environments and inaccurate annotations …
However, due to problems such as complex environments and inaccurate annotations …
Lert: A linguistically-motivated pre-trained language model
Pre-trained Language Model (PLM) has become a representative foundation model in the
natural language processing field. Most PLMs are trained with linguistic-agnostic pre …
natural language processing field. Most PLMs are trained with linguistic-agnostic pre …
Integrated mRNA sequence optimization using deep learning
The coronavirus disease of 2019 pandemic has catalyzed the rapid development of mRNA
vaccines, whereas, how to optimize the mRNA sequence of exogenous gene such as …
vaccines, whereas, how to optimize the mRNA sequence of exogenous gene such as …
A novel feature integration and entity boundary detection for named entity recognition in cybersecurity
X Wang, J Liu - Knowledge-Based Systems, 2023 - Elsevier
Owing to continuous cyberattacks, a large amount of threat intelligence is generated online
every day. However, threat intelligence is mostly unstructured and multisource …
every day. However, threat intelligence is mostly unstructured and multisource …
Merbench: A unified evaluation benchmark for multimodal emotion recognition
Multimodal emotion recognition plays a crucial role in enhancing user experience in human-
computer interaction. Over the past few decades, researchers have proposed a series of …
computer interaction. Over the past few decades, researchers have proposed a series of …
Contrastive knowledge integrated graph neural networks for Chinese medical text classification
This paper aims at medical text classification, where texts describe medicines, diseases, or
other medical topics. This field is still challenging since medical texts contain intensive …
other medical topics. This field is still challenging since medical texts contain intensive …
Position prediction as an effective pretraining strategy
Transformers have gained increasing popularity in a wide range of applications, including
Natural Language Processing (NLP), Computer Vision and Speech Recognition, because of …
Natural Language Processing (NLP), Computer Vision and Speech Recognition, because of …
IDOL: indicator-oriented logic pre-training for logical reasoning
In the field of machine reading comprehension (MRC), existing systems have surpassed the
average performance of human beings in many tasks like SQuAD. However, there is still a …
average performance of human beings in many tasks like SQuAD. However, there is still a …