Natural Language Processing (NLP)
0 订阅
Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of 'understanding' the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation.Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.
相关学科: TranslationSoundSpeech RecognitionMachine TranslationIRAITransformerComputers and SocietySentiment AnalysisLanguage Acquisition
学科讨论

暂无讨论内容,你可以
推荐文献
按被引用数
学科管理组
暂无学科课代表,你可以申请成为课代表
重要学者
Yoshua Bengio
429868 被引用,1063
篇论文
Geoffrey E. Hinton
345738 被引用,408
篇论文
Daniel Kahneman
254437 被引用,307
篇论文
Yann LeCun
175383 被引用,366
篇论文
Ilya Sutskever
165856 被引用,113
篇论文
Michael I. Jordan
150356 被引用,1056
篇论文
Pierre Bourdieu
147589 被引用,767
篇论文
Herbert A. Simon
145136 被引用,873
篇论文
Xiang Zhang
138753 被引用,2111
篇论文
Terrence J. Sejnowski
134448 被引用,931
篇论文