Natural Language Understanding (NLU)

It's the task of understand the meaning and context of the text.


  • Named Entity Recognition (NER)
  • Relationship extraction
  • Semantic Role Labelling (SRL)
  • Argument Reasoning Comprehension
  • Word Sense Disambiguation
  • Inductive Reasoning
  • Intent Detection and Slot Filling: extracting user intent and relevant slots
  • Discourse Segmentation(Discourse Parsing)
    • Unsupervised Discourse Segmentation
    • Supervised Discourse Segmentation
  • Natural Language Inference (NLI)
  • Inductive Reasoning
  • Question Natural Language Inference(QNLI)
  • Multi-Genre Natural Language Inference (MultiNLI): In this task, we have given a pair of the sentence. The goal is to identify whether the second sentence is entailment, contradiction or neutral with respect to the first sentence.
  • Abductive Natural Language Inference(Abductive NLI): multiple-choice question answering task for choosing the more likely explanation.
  • Abductive Natural Language Generation(Abductive NLG): a conditional generation task for explaining given observations in natural language.


Learning Material: