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References and Resources

Data collection

  1. N. Saini, Scraping Information of Reasearch Papers on Google Scholar using Python, Medium, Aug. 2021.

Spark NLP documentation and related information

  1. John Snow Labs NLP Documentation.
  2. Spark NLP Workshop Tutorials and Notebooks.

Spark NLP Medium posts

  1. V. Kocaman, Introduction to Spark NLP: Foundations and basic components, Medium, Towards Data Science, Sept. 2019.

  2. V. Kocaman, Spark NLP 101: Installation on Mac and Linux, Medium, spark-nlp, Oct. 2019.

  3. V. Kocaman, Spark NLP 101: LightPipeline, Medium, spark-nlp, Nov. 2019.

  4. V. Kocaman, Named entity recognition (NER) with BERT in Spark NLP, Medium, Towards Data Science, March 2020.

  5. M. A. Kaya, How to get started with Spark NLP in 2 weeks, Medium, Towards Data Science, Aug. 2020.

  6. M. A. Kaya, How to wrap your head around Spark NLP, Medium, Towards Data Science, Aug. 2020.

  7. J. J. Martinez, Google LIT for document clustering visualization with Spark NLP and Spark MLLib, Medium, spark-nlp, Oct. 2021.

  8. J. J. Martinez, Deploying Spark NLP for Healthcare: from zero to hero, Medium, spark-nlp, March 2022.

Scholarly publications

  1. J. Carbonell, J. Goldstein, The use of MMR, diversity-based reranking for reordering documents and producing summaries, SIGIR '98: Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, August 1998, Pages 335–336.

  2. K. Bennani-Smires, C. Musat, A. Hossmann, M. Baeriswyl, M. Jaggi, Simple Unsupervised Keyphrase Extraction using Sentence Embeddings, arXiv:1801.04470v3, Sept. 2018.

  3. V. Kocaman, D. Talby, Spark NLP: Natural Language Understanding at Scale, arXiv:2101.10848v1, Jan. 2021.

  4. V. Kocaman, D. Talby, Biomedical Named Entity Recognition at Scale, arXiv:2011.06315v1, Nov. 2020.

  5. A.E. Varol, V. Kocaman, H.U. Haq, D. Talby, Understanding Covid-19 News Coverage using Medical NLP, arXiv:2203.10338v1, March 2022.