Text representation isNLPThe mission is very basic and at the same time a very important part. This article will introduce the history of text representation and the advantages and disadvantages of each method.
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"59 Page PDF" Natural Language Processing NLP Basic Concepts (Free Download)
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Therefore, we integrate the excellent science and technology content at home and abroad in the most easy-to-understand way, specifically for non-technical personnel, so that everyone can understand the basic concepts in the field of artificial intelligence.
Looking back at the past NNUM trends in 20
Take a look at past 20 years with ACL papers,NLP The development trend.
8 steps to solve 90% NLP issues
We'll start with the simplest method and move on to more subtle solutions such as feature engineering, word vectors and deep learning.
Google is stronger NLP model XLNet open source: 20 task is fully rolled BERT!
CMU and Google’s new XLNet surpassed 20 tasks BERT Performance and achieved the best results on 18 tasks! What's even more exciting is that XLNet has now opened training code and large pre-training models.
From rule-based to deep learning, NLP technology advanced trilogy
We will introduce you quicklyNLPThe main technical methods of 3 in it, and how we use them to build great machines!
What is the interpretative performance of the BERT feature of the Google NLP Deep Learning Model?
2018 10 At the beginning of the month, Google AI proposed a new contextual word representation -BERT feature. This paper introduces the BERT features and briefly analyzes the interpretability of BERT features.
Dialogue Zhou Ming: Looking back at the past and looking forward to the future, what are the development trends of NLP?
Dr. Zhou Ming, Associate Dean of Microsoft Research Asia and ACL Chairman, accepted an interview with “Heart of the Machine” and discussed it from the macro level and technical level.NLPResearch progress and future development trends. The following is a selection of interviews with Dr. Zhou Ming.
The existing model also "does not understand" natural language: 20 researchers talk about the four open issues of NLP
Deep Learning Indaba 2018 is a deep learning summit hosted by DeepMind and was held in Stellenbosch, South Africa during the 9 month of this year. This article is based on expert interviews and panel discussions at the time, mainly discussingNLP4 major open issues in the domain.
Shannon Technology proposes a Chinese-language deep learning model Glyce, sweeping 13 Chinese NLP records
Recently, Shannon Technology published a research and proposed a Chinese glyph vector Glyce. The research is based on the evolution of Chinese characters, using a variety of Chinese characters and various writing styles, designed for Chinese pictographic characters. CNN Architecture - Tian Character Bank CNN. Glyce in 13 (almost all) Chinese NLP The task has achieved the best performance at the moment.