Natural language processing is at the center of much of the commercial artificial intelligence research being done today. In addition to search engines, NLP has applications in digital assistants, automated telephone response, and vehicle navigation, to name just a few. BERT has been called a game...
State-of-the-art deep learning architectures such as transformers however struggle with capturing the compositional structures in natural language, and thus fail to generalize compositionally. In the new paperMaking Transformers Solve Compositional Tasks, a Google Research team explores the...
收集语料库,并对伊西霍萨语、塞索托语和南非手语进行完整的自然语言处理Corpora collection and complete natural language processing of isiXhosa, Sesotho and South African Sign languages Natalia Diaz Rodriguez, University of Granada (Spain) + ENSTA, Institut Polytechnique Paris, Inria. Lorenzo Baraldi, 摩德...
Mohohlo Samuel Tsoeu, 开普敦大学 收集语料库,并对伊西霍萨语、塞索托语和南非手语进行完整的自然语言处理Corpora collection and complete natural language processing of isiXhosa, Sesotho and South African Sign languages Natalia Diaz Rodriguez, University of Granada (Spain) + ENSTA, Institut Polytechnique Par...
By August 2019, something new was brewing at Google. Natural language processing researchers had developed a new, simpler kind of neural network architecture called the Transformer model, which could gain an understanding of languages with far less training time than previous language models. The foll...
In this paper, we propose to shorten the time required for identifying the research gap by using web scraping and natural language processing. We tested this approach by reviewing three distinct areas: (i) safety awareness, (ii) housing price, (iii) sentiment and artificial intelligence from ...
自然语言处理Natural Language Processing 陈丹琦, 普林斯顿大学 提高NLP模型的训练和推理效率Improving Training and Inference Efficiency of NLP Models Derry Tanti Wijaya, 波士顿大学, Anietie Andy, 宾夕法尼亚大学 通过框架分析探讨种族偏见随时间推移的演变情况Exploring the evolution of racial biases over time thr...
google-research/languagePublic NotificationsYou must be signed in to change notification settings Fork346 Star1.6k master 31Branches 0Tags Code Folders and files Name Last commit message Last commit date Latest commit Language Team and kentonl ...
引用量最高的是 Christopher D. Manning、Mihai Surdeanu、John Bauer、Jenny Finkel、Steven J. Bethard、David McClosky 的论文 The Stanford CoreNLP Natural Language Processing Toolkit（2014），被引用了 2537 次；引用量排名第二的是 Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom 的论文 A ...
BERT, orBidirectionalEncoderRepresentations fromTransformers, is a new method of pre-training language representations which obtains state-of-the-art results on a wide array of Natural Language Processing (NLP) tasks. Our academic paper which describes BERT in detail and provides full results on a ...