For example, the predicate of the last triple in Table 9 displays low quality in terms of syntax and coherence with the action of the original sentence. For instance, the predicate “Creation of” could have been more suitable for this sentence. However, this triple notably captures the ...
2. Data augmentation methods in NLP 3. Strategies and tricks 4. Applications on NLP tasks 5. Related topics 6. Challenges and opportunities 7. Conclusion Declaration of competing interest Acknowledgment Appendix A. Related Resources ReferencesShow full outline Cited by (208) Figures (26) Show 20...
Note: When specifying CSS properties in the style argument, you should use mixedCase syntax instead of hyphen-separated words. For example, to change the background color of an element, you should use backgroundColor and not background-color. If you wanted to change the size and color of ...
Example: Replacing “big” with “large” in a sentiment analysis dataset ensures the model understands the meaning doesn’t change. Word Shuffling: Randomizing word order in sentences helps models become less dependent on strict syntax. Example: Rearranging “The movie was great!” to “Great wa...
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search
This book enables you to develop highly sought-after skills as corporate investment in generative AI soars.IntroductionAs the adoption of Retrieval-Augmented Generation (RAG) continues to grow, its potential to address key security challenges in AI-driven applications is becoming evident. Far from ...
Data cleaning in data science is often done through Python for the following reasons: Rich Libraries: Python offers rich libraries like Pandas, NumPy, and SciPy which are designed to assist in handling missing values and transforming datasets. Readable Syntax: Python’s clean syntax helps make it...
1966: ELIZA, the first chatbot, demonstrates NLP capabilities. 1978: SHRDLU, an early NLP system, interprets natural language commands in a block world environment. 1983: Chomsky's theories are integrated into practical models with the development of HPSG (Head-driven Phrase Structure Grammar). ...
The performance obtained in the different scenarios is encouraging, demonstrating the ability of the approach to discover the process choreography and the construction of business process models in inter-organizational environments. Keywords: process choreography; IOBP; data-driven; process mining; discovery...
PyCaret: An open-source, low-code machine learning library that automates end-to-end ML workflows. Hugging Face: Widely adopted for itstransformerslibrary, enabling state-of-the-art NLP applications. Due to its simple and readable syntax, Python is often referred to as one of the easiest prog...