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  2. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP) that is concerned with building systems that automatically answer questions that are posed by humans in a natural language.

  3. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.

  4. National Programme on Technology Enhanced Learning - Wikipedia

    en.wikipedia.org/wiki/National_Programme_on...

    The National Programme on Technology Enhanced Learning (NPTEL) is an Indian e-learning platform for university-level science, technology, engineering, and mathematics (STEM) subjects. NPTEL is the largest e-repository in the world of courses in engineering, basic sciences and selected humanities and management subjects. [1]

  5. Natural-language programming - Wikipedia

    en.wikipedia.org/wiki/Natural-language_programming

    Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program.

  6. Paraphrasing (computational linguistics) - Wikipedia

    en.wikipedia.org/wiki/Paraphrasing...

    Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases.Applications of paraphrasing are varied including information retrieval, question answering, text summarization, and plagiarism detection. [1]

  7. Intelligent tutoring system - Wikipedia

    en.wikipedia.org/wiki/Intelligent_tutoring_system

    Areas that have used ITS include natural language processing, machine learning, planning, multi-agent systems, ontologies, Semantic Web, and social and emotional computing. In addition, other technologies such as multimedia, object-oriented systems , modeling, simulation, and statistics have also been connected to or combined with ITS.

  8. Pushpak Bhattacharyya - Wikipedia

    en.wikipedia.org/wiki/Pushpak_Bhattacharyya

    His research areas are Natural Language Processing, Artificial Intelligence, Machine Learning, Psycholinguistics, Eye Tracking, Information Retrieval, and Indian Language WordNets - IndoWordNet. A significant contribution of his research is Multilingual Lexical Knowledge Bases like IndoWordNet and Projection.

  9. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. [4]