michele-nazareth / adv_nlp_workshop_odsc_europe23

Extensive tutorials for the Advanced NLP Session in Open Data Science Conference Europe 2023. We will leverage deep transfer learning, notably transformers to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems

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ODSC Europe 2023 Advanced NLP Session

Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing

Abstract:

Being specialized in domains like computer vision and natural language processing is no longer a luxury but a necessity which is expected of any data scientist in today’s fast-paced world! With a hands-on and interactive approach, we will understand essential concepts in NLP along with extensive hands-on examples to master state-of-the-art tools, techniques and methodologies for actually applying NLP to solve real-world problems. We will specifically be focusing on deep learning and deep transfer learning models to learn and solve popular tasks using NLP including NER, Classification, Search / Information Retrieval, Summarization, Classification, Language Translation, Q&A systems using popular libraries like HuggingFace and the Python programming language.


Key Hands-on Examples

  1. Transformers and Applications
  2. Improved Question-Answering Search Engines with Retrieval and Re-ranking & Transformers
  3. Classification and Sentiment Analysis with Transformers

Background Knowledge

Skills: Understanding of Machine Learning and Deep Learning

Tools \ Languages: Python, Tensorflow, PyTorch, Scikit-Learn, HuggingFace Transformers


Author

About

Extensive tutorials for the Advanced NLP Session in Open Data Science Conference Europe 2023. We will leverage deep transfer learning, notably transformers to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems

License:GNU Affero General Public License v3.0


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Language:Jupyter Notebook 100.0%