Natural Language Processing (NLP) Subject Area

A Natural Language Processing (NLP) Subject Area is a computing subject area that includes NLP tasks, NLP algorithms and NLP systems.

• Context:
  • It can be described by an NLP Textbook or NLP Course.
• Example(s):
  • a Machine Translation Domain.
  • a Document Summarization Domain.
  • …
• Counter-Example(s):
  • a Computational Linguistics Subject Area.
  • a Computer Vision Subject Area.
  • a Machine Learning Subject Area.
  • a Psychology Subject Area.
  • a Neuro-Linguistic Programming Subject Area.
• See: NLP Academic Discipline, NLP Research.

---

---

References

2015

• (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/Natural_language_processing Retrieved:2015-4-5.
  • Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human–computer interaction. Many challenges in NLP involve natural language understanding, that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation.

2008

• (Collobert & Weston, 2008) ⇒ Ronan Collobert, and Jason Weston. (2008). “A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning.” In: Proceedings of the 25th International Conference on Machine learning. ISBN:978-1-60558-205-4 doi:10.1145/1390156.1390177
  • QUOTE: The field of Natural Language Processing (NLP) aims to convert human language into a formal representation that is easy for computers to manipulate. Current end applications include information extraction, machine translation, summarization, search and human-computer interfaces.

---