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Ch5

Information Extraction

🔖 Outline

To be added

🗒️ Notebooks

Set of notebooks associated with the chapter.

  1. Key Phrase Extraction: Here we demonstrate Key Phrase Extraction using textacy.

  2. NER using CRF: Here we demonstrate how to perform NER using Conditional Random Fields.

  3. NER issues in spaCy: Here we illustrate some of the issues with the existing NER model in spacy and its sensitivity to text structure.

  4. NER on CONLL using spaCy: Here we demonstrate NER on the CONLL-NER dataset using spaCy.

  5. NER on CONLL using BERT: Here we demonstrate NER on the CONLL dataset using pytorch pre-trained BERT from the HuggingFace Transformers library.

  6. Entity Linking: Here we demonstrate how to extract Named Entity linking information using Azure Text Analytics API.

  7. Relation Extraction: Here we demonstrate Relation Extraction with IBM Watson.

  8. Duckling: Here we demonstrate Temporal IE using duckling.

🖼️ Figures

Color figures as requested by the readers.

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