TweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction, and named en
python openai_api.py You can change your arguments, e.g., -c for checkpoint name or path, --cpu-only for CPU deployment, etc. If you meet problems launching your API deployment, updating the packages to the latest version can probably solve them. Using the API is also simple. See the...
A transient facilitation for related items is often found on the first cycle (e.g., Python, Fargier, & Laganaro, 2018a; Schnur et al., 2009) which seems to have a strategic component (Belke, Shao, & Meyer, 2017). Also in line with the PWI results, the effect of onset-overlapping...
implementation was adopted from theDeepOffensePython library.Footnote16The overall transformer architecture is available in Fig.7. For the transformer-based models, we employed a batch-size of 16, Adam optimiser with learning rate\(2\textrm{e}{-5}\), and a linear learning rate warm-up over 1...
Scikit-learn: Machine learning in python Journal of Machine Learning Research, 12 (2011), pp. 2825-2830 Google Scholar Pedregosa et al., 2020 Pedregosa F., Varoquaux G., Gramfort A., Michel V., Thirion B., Grisel O., et al. Scikit-learn support vector classification (2020) Available...
Finalisation can be very useful even if you are not doing mixed language working, and many languages support it, including Java, Dylan, Python, Scheme, and many others. Hayes gives a useful survey [13], while a workshop paper gives more details about the Glasgow Haskell Compiler's design ...
(e.g., resulting in a lack of novelty [37] or very close similarity to fine-tuning datasets which must be monitored [38]). Reinforcement learning (RL) on the other hand can be used to optimize de novo compounds to maximize/minimize a numerical reward which can be provided by either a...
Patients with cancer often have unmet psychosocial needs. Early detection of who requires referral to a counsellor or psychiatrist may improve their care. This work used natural language processing to predict which patients will see a counsellor or psych
You can follow along during the presentation with any Linux system with Python 3.x installed. Recommended Preparation Watch: Catalyst Conference by Jon Krohn Read: Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence by Jon Krohn, Grant Beyleveld, and...
Add basic arguments (required) and complexity configurations in the python script. Verify the script is reproducible given a tokenizer, a sequence length, and a random seed. Save the script under the folderscripts/data/synthetic. Addtemplateandtokens_to_generateinscripts/data/synthetic/constants.py....