NLP (Natural Language Processing) 是人工智能(AI)的一个子领域。 研究范畴: 文本朗读(Text to speech)/语音合成(Speech synthesis) 语音识别(Speech recognition) 中文自动分词(Chinese word segmentation) 词性标注(Part-of-speech tagging) 句法分析(Parsing) 自然语言生成(Natural language generation) 文本分类(Tex...
Natural Language Processing has come a long way, empowering machines to comprehend, generate, and translate human language with remarkable accuracy and sophistication. Advancements in sentiment analysis, text generation, and language translation have opened up exciting possibilities across various industries a...
4. Text Generation Text generation is a fascinating aspect of Natural Language Processing (NLP) that involves creating coherent and contextually relevant text automatically using computer algorithms. These algorithms can range from traditional rule-based methods to more advanced deep learning models. NLP ...
NLP ( Natural Language Processing ),也就是人们常说的「自然语言处理」,就是研究如何让计算机读懂人类语言,即将人的自然语言转换为计算机可以阅读的指令。在就业上讲,这边的工程师被人们称为NLP算法工程师,前些年火的是CV工程师(计算机视觉工程师),目前NLP算法工程师的薪资待遇,普遍偏上。 NLP都包含哪些内容呢?
History of natural language processing The concept of NLP has existed since the 1950s, whencomputing pioneer Alan Turingproposed what he called the “imitation game” (later known as the Turing test), In this "game", a human operator asks a series of questions through a text-only channel to...
Natural Language Processing (NLP) Overview Natural language processing refers to the automatic structuring and standardization of medical texts through NLP methods such as text segmentation, named entity recognition, relationship recognition, syntactic analysis, and standardization of named entity recognition. ...
TextFlint is a multilingual robustness evaluation platform for natural language processing, which unifies texttransformation,sub-population,adversarial attack,and their combinations to provide a comprehensive robustness analysis. So far, TextFlint supports 13 NLP tasks. ...
Deep learning in natural language processing Chenguang Zhu, in Machine Reading Comprehension, 2021 3.3 Write an article: natural language generation An important topic in NLP is to produce natural text. Text generation is widely employed in machine translation, MRC (freestyle answers), text summarizat...
Natural language processing, that is, natural language communication, or natural language understanding and natural language generation, is very difficult. The root reason is the widespread variable ambiguity in natural language text and dialog. From the format, a Chinese text is a stringformed by ch...
Intel Labs is developing algorithmic optimizations for large transformer models that will help sustain the growth of Natural Language Processing (NLP).