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The Best of Applied Artificial Intelligence, Machine Learning, Automation, Bots, Chatbots

Natural Language Processing

Why Bots Are So Difficult to Get Right

June 26, 2019 by Clement Tussiot

chatbots Salesforce

Most of today’s biggest companies have begun experimenting with chatbots, and many others are poised to follow suit. A recent survey found 56% of service leaders were actively looking for ways to integrate artificial intelligence, including chatbots. This surge in interest reflects the significant benefits this technology can offer: bots can save human agents time by providing … [Read more...] about Why Bots Are So Difficult to Get Right

New Approaches For Leveraging NLP in Marketing & Advertising

June 26, 2019 by Kate Koidan

NLP in marketing

Natural Language Processing (NLP) is one of the longest-standing areas of AI research. The idea of being able to speak to a computer and be understood, whether verbally or in writing, has been around for as long as the idea of artificial intelligence.These days, NLP has gone far beyond being merely a better input method - we’re able to use machine learning algorithms to … [Read more...] about New Approaches For Leveraging NLP in Marketing & Advertising

Sentiment Analysis: Types, Tools, and Use Cases

May 14, 2019 by Kateryna Lytvynova

sentiment analysis

What do you do before purchasing something that costs more than a pack of gum? Whether you want to treat yourself to new sneakers, a laptop, or an overseas tour, processing an order without checking out similar products or offers and reading reviews doesn’t make much sense any more. Thanks to comment sections on eCommerce sites, social nets, review platforms, or dedicated … [Read more...] about Sentiment Analysis: Types, Tools, and Use Cases

Generalized Language Models: Common Tasks & Datasets

April 24, 2019 by Lilian Weng

ELMo and BERT

EDITOR'S NOTE: Generalized Language Models is an extensive four-part series by Lillian Weng of OpenAI. Part 1: CoVe, ELMo & Cross-View TrainingPart 2: ULMFiT & OpenAI GPTPart 3: BERT & OpenAI GPT-2Part 4: Common Tasks & DatasetsDo you find this in-depth technical education about language models and NLP applications to be useful? Subscribe below to … [Read more...] about Generalized Language Models: Common Tasks & Datasets

Generalized Language Models: BERT & OpenAI GPT-2

April 24, 2019 by Lilian Weng

BERT downstream tasks

EDITOR'S NOTE: Generalized Language Models is an extensive four-part series by Lillian Weng of OpenAI. Part 1: CoVe, ELMo & Cross-View TrainingPart 2: ULMFiT & OpenAI GPTPart 3: BERT & OpenAI GPT-2Part 4: Common Tasks & DatasetsDo you find this in-depth technical education about language models and NLP applications to be useful? Subscribe below to … [Read more...] about Generalized Language Models: BERT & OpenAI GPT-2

Generalized Language Models: ULMFiT & OpenAI GPT

April 24, 2019 by Lilian Weng

OpenAI GPT

EDITOR'S NOTE: Generalized Language Models is an extensive four-part series by Lillian Weng of OpenAI. Part 1: CoVe, ELMo & Cross-View TrainingPart 2: ULMFiT & OpenAI GPTPart 3: BERT & OpenAI GPT-2Part 4: Common Tasks & DatasetsDo you find this in-depth technical education about language models and NLP applications to be useful? Subscribe below to … [Read more...] about Generalized Language Models: ULMFiT & OpenAI GPT

Generalized Language Models: CoVe, ELMo & Cross-View Training

April 24, 2019 by Lilian Weng

ELMo-BiLSTM

EDITOR'S NOTE: Generalized Language Models is an extensive four-part series by Lillian Weng of OpenAI. Part 1: CoVe, ELMo & Cross-View TrainingPart 2: ULMFiT & OpenAI GPTPart 3: BERT & OpenAI GPT-2Part 4: Common Tasks & DatasetsDo you find this in-depth technical education about language models and NLP applications to be useful? Subscribe below to … [Read more...] about Generalized Language Models: CoVe, ELMo & Cross-View Training

Topic Modeling with LSA, PLSA, LDA & lda2Vec

April 24, 2019 by Joyce Xu

Topic Modeling

In natural language understanding (NLU) tasks, there is a hierarchy of lenses through which we can extract meaning — from words to sentences to paragraphs to documents. At the document level, one of the most useful ways to understand text is by analyzing its topics. The process of learning, recognizing, and extracting these topics across a collection of documents is called … [Read more...] about Topic Modeling with LSA, PLSA, LDA & lda2Vec

OpenAI GPT-2: Understanding Language Generation through Visualization

April 23, 2019 by Jesse Vig

OpenAI visualization

Are you interested in receiving more in-depth technical education about language models and NLP applications? Subscribe below to receive relevant updates.  In the eyes of most NLP researchers, 2018 was a year of great technological advancement, with new pre-trained NLP models shattering records on tasks ranging from sentiment analysis to … [Read more...] about OpenAI GPT-2: Understanding Language Generation through Visualization

Deconstructing BERT, Part 2: Visualizing the Inner Workings of Attention

April 23, 2019 by Jesse Vig

deconstruction bert jesse vig

This is the second part of a two-part series on deconstructing BERT.In part 1, Deconstructing BERT: Distilling 6 Patterns from 100 Million Parameters, I described how BERT’s attention mechanism can take on many different forms. For example, one attention head focused nearly all of the attention on the next word in the sequence; another focused on the previous … [Read more...] about Deconstructing BERT, Part 2: Visualizing the Inner Workings of Attention

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