NLP News Cypher | 11.17.19

NLP News Cypher 11-17-2019

Gearing Up for NeurIPS 2019… While we wind down from the recent EMNLP conference, NeurIPS 2019 is just around the corner starting on Dec. 8 thru the 14th! For a quick rundown of the NeurIPS’ metadata (authors, topics etc), check out this post: NeurIPS 2019 Stats The Thirty-third Annual Conference on Neural Information Processing Systems…

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NLP News Cypher | 11.10.19

NLP News Cypher 11/10/2019

Echoes from EMNLP and GPT-2 Strikes Back Wow, what a week it was. The EMNLP conference gave us many treats to chew on such as the growing popularity of cross-lingual learning and the continued adoption of knowledge graphs in language models. Because of all this action, this week’s Cypher will be a bit longer than…

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NLP News Cypher | 11.03.19

NLP News Cypher

This Week’s Content -Google Creates BERT, Google Adopts BERT -Summarization Meets Fact Checking -Batch Inference vs. Online Inference -Summary of Machine Learning Evaluation Metrics -Goal-Oriented Dialogue + Knowledge Base -Chitchat Dialogue is Hard! Quick note: Today the EMNLP conference gets underway thru Nov. 7th. Quantum Stat will be dishing out research news and other highlights…

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NLP Cypher

NLP Cypher

This Week’s Content -T5, Google’s New Transformer – Facebook’s RoBERTa Distilled by Hugging Face -Multiprocessing vs. Threading -Fine-Tuning BERT, a Tutorial -Microsoft’s UniLM AI Improves Summarization T5 | The New SOTA Transformer from Google A new entrant in the transformer school of hard-knocks was unveiled yesterday by Google called T5. This new transformer achieved new…

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Word Representation in Natural Language Processing (Seconda Parte)

Natural Language Processing

Word Vectors and Beyond…🧐 In the prima parte of our introduction to word representations, we discussed the most basic type of representation: frequency probability. While this approach continues to be used in NLP projects requiring low semantic inference, more often than not, mission-critical projects may be dependent on word meaning. Natural language, as a complex…

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Word Representation in Natural Language Processing (Prima Parte)

Machine Learning Part 1

From Probabilistic Models to Word Embeddings 🧐 In the world of Natural Language Processing (NLP), word representation models are key for understanding how models interpret language.  So what is a representation model (RM)? Before answering this, we have to be aware of an important disclaimer: AI models run on math. The consequence of this prerequisite highlights…

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Bringing Machine Learning to Video Ads | Instagram Marches On

Quantum Stat

Google Brings Machine Learning to Mobile Video Ads This week, Google introduced Bumper Machine, a machine learning application that allows brands to create 6 second ads from longer video assets on YouTube. The video editing tool is trained to recognize valuable moments in longer formats (e.g. product/brand information, human faces, motion, contrast) and translating them…

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Machine Learning With Dynamic Data

Quantum Stat

Machine Learning (abbreviated ML): 1.[mass noun] Technologies which enable the use of statistical techniques / models to give computer systems the ability to learn from data without being explicitly programmed. Machine Learning is Hard For machine learning developers, modeling an algorithm is a challenging initiative. Achieving a state-of-the-art ML model for enterprise-ready applications is predicated…

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What Do We Mean by Artificial Intelligence?

According to a recent IAB report, our level of confidence in understanding Artificial Intelligence remains murky. Only 17% of publishers feel very confident they understand it. Yikes! But there’s a reason why the word “Artificial Intelligence” falls victim to ambiguity when being discussed by the media. Let us split this difficulty into two avenues: 1)…

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Press Release: AI in Marketing Looks Ahead to Natural Language Processing

Artificial Intelligence

NEW YORK, June 14, 2018 /PRNewswire/ — Artificial Intelligence, one of the most talked about emerging technologies, has captured the serious attention of the digital marketer. According to Quantum Stat’s latest report, AI’s deployment is steadily rising among cloud-driven audience insight applications and experimentation with natural language services such as chatbots and personalized product search. The technology continues…

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Q-Stat of the Day: Artificial Intelligence

Quantum Stat