JOURNAL ARTICLE
Question Generation Using Natural Language Processing
Year: 2023 Journal: Zenodo (CERN European Organization for Nuclear Research) Publisher: European Organization for Nuclear Research
Abstract
Abstract--Inordertocreatesystemsthatcanautomatically producequestionsfromagiventext,thefieldofresearchknownas automaticquestiongeneration(AQG)usesnaturallanguage processing(NLP). By incorporating text summaries and keyword extractiontechniques,naturallanguageprocessing(NLP)questionoutputcanbe improved.While keyword extraction involves locating the mostimportant words or phrases from the inputtext, text summarizationinvolvesreducingtheinputtext intoabriefsummary.Thesemethods can aid in producing queries that are more precise andmeaningful
Keywords:
Natural language Keyword extraction Information extraction Question answering Computational linguistics Language identification Natural language generation
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Topics
Advanced Text Analysis Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Topic Modeling
Physical Sciences → Computer Science → Artificial Intelligence
Text and Document Classification Technologies
Physical Sciences → Computer Science → Artificial Intelligence
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