NLP.md

Natural Language Processing (NLP) Resources

References

• https://en.wikipedia.org/wiki/Natural-language_understanding

• https://en.wikipedia.org/wiki/Question_answering#Open_domain_question_answering

• https://en.wikipedia.org/wiki/Diffuse_sky_radiation

• Google Natural Questions (NQ)

  • https://ai.google.com/research/NaturalQuestions
  • News:
    • 2019
      • https://ai.googleblog.com/2019/01/natural-questions-new-corpus-and.html
      • https://ai.google.com/research/NaturalQuestions/competition

• https://gluebenchmark.com/diagnostics

  • The GLUE benchmark comes with a manually-curated evaluation dataset for fine-grained analysis of system performance on a broad range of linguistic phenomena.

• http://www.nyu.edu/projects/bowman/multinli/

  • The Multi-Genre Natural Language Inference (MultiNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information.

• https://nlp.stanford.edu/projects/snli/

  • The Stanford Natural Language Inference (SNLI) Corpus (version 1.0) is a collection of 570k human-written English sentence pairs manually labeled for balanced classification with the labels entailment, contradiction, and neutral, supporting the task of natural language inference (NLI), also known as recognizing textual entailment (RTE).

Publications

• The Recognizing Textual Entailment Challenges: Datasets and Methodologies
  • https://link.springer.com/chapter/10.1007/978-94-024-0881-2_42
• Introduction to "This is Watson"
  • https://ieeexplore.ieee.org/document/6177724?reload=true