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MTSI-BERT A Session-aware Knowledge-based Conversational
NLP was the presentation of the BERT model (Devlin et al. 2018) that for the first time proposes a bidirectional transformer-based masked language model. The use of pre-trained BERT is today almost a must for a lot of NLP works and has inspired a lot of even more powerful archi-tectures (Yang et al. 2019). These new architectures have
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BERT Text Classification in 3 Lines Towards Data Science
Jan 20 2020 · The first argument to get_learner uses the ktraintext_classifier function to load the pretrained BERT model with a randomly initialized final Dense layer. The second and third arguments are the training and validation data respectively. The last argument to get_learner is the batch size. We use a small batch size of 6 based on the following recommendations from Google for 12GB GPUs
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1904.05255 Simple BERT Models for Relation Extraction
Apr 10 2019 · We present simple BERT-based models for relation extraction and semantic role labeling. In recent years state-of-the-art performance has been achieved using neural models by incorporating lexical and syntactic features such as part-of-speech tags and dependency trees. In this paper extensive experiments on datasets for these two tasks show that without using any external features a simple
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ultrasonic welding process Topics by Science.gov
Jun 01 2018 · Ultrasonic stir welding process and apparatus. NASA Technical Reports Server (NTRS) Ding R. Jeffrey (Inventor) . An ultrasonic stir welding device provides a method and apparatus for elevating the temperature of a work piece utilizing at least one ultrasonic heater. Instead of relying on a rotating shoulder to provide heat to a workpiece an ultrasonic heater is utilized to provide
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Transfer Learning NLPFine Tune Bert For Text Classification
Jul 20 2020 · Transfer Learning in NLP. Transfer learning is a technique where a deep learning model trained on a large dataset is used to perform similar tasks on another dataset. We call such a deep learning model a pre-trained model. The most renowned examples of pre-trained models are the computer vision deep learning models trained on the ImageNet
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mechanically stacked tandem Topics by Science.gov
May 01 2018 · Engineering of photonics for antireflection and electronics for extraction of the hole using 2.5 nm of a thin Au layer have been performed for two- and four-terminal tandem solar cells using CH 3 NH 3 PbI 3 perovskite (top cell) and p-type single crystal silicon
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BERT NLP — How To Build a Towards Data Science
Jun 15 2020 · Transfer learning for question answering. The SQuAD dataset offers 150 000 questions which is not that much in the deep learning world. The idea behind transfer learning is to take a model that was trained on a very large dataset then fine-tune that model using the SQuAD dataset. Overall pre-training and fine-tuning procedures for BERT.
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Derniers chiffres du Coronavirus issus du CSSE 13/04/2021 (mardi 13 avril 2021). Au niveau mondial le nombre total de cas est de 137 016 680 le nombre de guérisons est de 78 044 652 le nombre de décès est de 2 951 145. Le taux de mortalité est de 2 15 le taux de guérison est de 56 96 et le taux de personnes encore malade est de 40 89 Pour consulter le détail d un pays cliquez sur
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May 10 2018 · Capacitively-coupled inductive sensor. DOEpatents. Ekdahl Carl A. . A capacitively coupled inductive shunt current sensor which utilizes capacitive coupling between flanges having an annular inductive channel formed therein. A voltage dividing capacitor is connected between the coupling capacitor and ground to provide immediate capacitive division of the output signal so as
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Statistiques et évolution de l épidémie de CoronaVirus
Derniers chiffres du Coronavirus issus du CSSE 13/04/2021 (mardi 13 avril 2021). Au niveau mondial le nombre total de cas est de 137 016 680 le nombre de guérisons est de 78 044 652 le nombre de décès est de 2 951 145. Le taux de mortalité est de 2 15 le taux de guérison est de 56 96 et le taux de personnes encore malade est de 40 89 Pour consulter le détail d un pays cliquez sur
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