Artificial Intelligence Research and Consulting Lab
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We study human languages and try to get computers to understand them.
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We develop machine learning algorithms for deep learning and text processing.
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We also work on applications of deep learning to computer vision and OCR problems.
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Chatbots that learn to converse merely by looking at examples of conversations.
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Extracting information of interest from complex documents usably.
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Extraction of information from noisy images.
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On the fly translations for online sellers across Japanese, Chinese and English.
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A smart menu capable of recommending food items to diners at a restaurant.
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Graph analysis of telecom networks to detect and prevent phone call fraud.
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Algorithm for deep learning (and learning arbitrary functions) that is not based on neural networks.
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The Perplexed Bayes classifier has the same accuracy as a Naive Bayes Classifier but calibrated posterior probabilities.
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Extension of Bing Liu's class sequential rules (CSRs) to N-gram units which is more powerful than unigram CSRs.
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Identify the intentions (to buy, inquire or complain) in social media messages.
Demonstration
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Identify whether someone takes a positive, negative or neutral view of something.
Demonstration
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Detect the human language that a document has been written in.
Demonstration
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This course teaches deep learning through Pytorch exercises.
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Slides for a 2-day course on text processing using statistical methods.
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Text processing concepts from 20,000 feet.
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A chat bot that takes orders for products over chat or voice channels.
Demonstration
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Robotic helper for marketing and demand generation that can spot B2B buyers.
Demonstration
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APIs to extract structured information from intentional and informational language.
Demonstration
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