Results 1 to 10 of about 6,850 (140)
Europace, 2021 AIMS Transvenous lead extraction is associated with a significant risk of complications and identifying patients at highest risk pre-procedurally will enable interventions to be planned accordingly.
Baldeep S Sidhu +2 more
exaly +2 more sources
Journal of Cheminformatics, 2022 Motivation Drug-target binding affinity (DTA) reflects the strength of the drug-target interaction; therefore, predicting the DTA can considerably benefit drug discovery by narrowing the search space and pruning drug-target (DT) pairs with low binding ...
Junjie Wang +4 more
doaj +2 more sources
An Effective ELECTRA-Based Pipeline for Sentiment Analysis of Tourist Attraction Reviews
Applied Sciences (Switzerland), 2022 In the era of information explosion, it is difficult for people to decide on a tourist destination quickly. Online travel review texts provide valuable references and suggestions to assist in decision making.
Hui Fang, Yunfei Long, Xu Ge
exaly +2 more sources
An ELECTRA-Based Model for Neural Coreference Resolution
IEEE Access, 2022 In last years, coreference resolution has received a sensibly performance boost exploiting different pre-trained Neural Language Models, from BERT to SpanBERT until Longformer.
Francesco Gargiulo +6 more
doaj +2 more sources
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 In this paper, we introduce ELECTRA-style tasks to cross-lingual language model pre-training. Specifically, we present two pre-training tasks, namely multilingual replaced token detection, and translation replaced token detection.
Zewen Chi +7 more
semanticscholar +1 more source
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM [PDF]
International Journal of Advanced Computer Science and Applications, 2023 Natural Language Processing (NLP) has emerged as a crucial technology for understanding and generating human language, playing an essential role in tasks such as machine translation, sentiment analysis, and more pertinently, question classification. As a
Sanad Aburass, O. Dorgham
semanticscholar +1 more source
Fast-ELECTRA for Efficient Pre-training [PDF]
International Conference on Learning Representations, 2023 ELECTRA pre-trains language models by detecting tokens in a sequence that have been replaced by an auxiliary model. Although ELECTRA offers a significant boost in efficiency, its potential is constrained by the training cost brought by the auxiliary ...
Chengyu Dong +5 more
semanticscholar +1 more source
A Criticality and depletion analysis of the European Lead-Cooled Training Reactor (ELECTRA)
Brazilian Journal of Radiation Sciences, 2022 In this article, a criticality and depletion analysis of the European Lead-Cooled Training Reactor (ELECTRA), a low-power, compact, fast lead-cooled reactor, was performed. The active core model and simulations were made by using the MCNPX code.
Ana Luiza Pereira Oliveira +1 more
doaj +1 more source
ElecTra code: Full-band electronic transport properties of materials [PDF]
Computer Physics Communications, 2022 This paper introduces ElecTra, an open-source code which solves the linearized Boltzmann transport equation in the relaxation time approximation for charge carriers in a full-band electronic structure of arbitrary complexity, including their energy ...
P. Graziosi, Zhen Li, N. Neophytou
semanticscholar +1 more source
Elsya, 2020 This study aims to analyse the tragic lives of Oedipus and Electra Complex sufferers in Eugene O'Neill's “Mourning Becomes Electra”. The writer applies psychoanalytical theory which fits with the characters psychological condition.
Sania Meldy, Junaidi Junaidi, Essy Syam
doaj +1 more source