language processing
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Abney and Associates News Story The web giants are rising above humans and their petty rules, and t
language processing 1d ago
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Standards and Interoperability challenges of the Multilingual Web -- Part 2 of 6
language processing 1w ago
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Forbes List of The World's Top 10 Most Innovative Companies
language processing 1w ago
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Text Analysis in Transparency - a talk at Sunlight Labs
language processing 1w ago
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NLP Author Attribution
language processing 2w ago
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Mounya Elhilali: Lecture on the Neurobiology of Hearing
language processing 2w ago
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Athento, Understanding documents
language processing 2w ago
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Facebook Graph Search Tutorial for Marketers
language processing 2w ago
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Visualizing Uncertainty in Machine Translation and Speech Recognition
language processing 2w ago
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Interview with Stephen Wolfram at The Next Web Conference Europe 2013
language processing 3w ago
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TLDR: MacBook Air Review / Is the MacBook Air Worth It?
language processing 3w ago
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Why social networking and compliance are vital for regulated organizations...
language processing 3w ago
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Natural Language Processing - IST 400,664
language processing 1mo ago
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SAP Social Media Analytics by NetBase
language processing 1mo ago
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Biomedical semantics in the Semantic Web
language processing 1mo ago
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Rob High, IBM CTO, Fellow and VP, on the new era of cognitive systems and IBM Watson
language processing 1mo ago
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Applied Parallel Computing with Python
language processing 1mo ago
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Introducing Emoticorrect for HipChat -- the fastest new way to communicate
language processing 1mo ago
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TDWI New York Chapter - Neil Raden on ROI on Business Intelligence
language processing 2mo ago
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Visualization: Social Media and the Energy Sector
language processing 2mo ago
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Adrian Bowles Interviews Rob High, Watson CTO on 2013-02-26
language processing 2mo ago
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Natural Language Processing
language processing 2mo ago
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18 - 1 - Introduction to Information Retrieval-Stanford NLP-Professor Dan Jurafsky & Chris Manning
language processing 3mo ago
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IBM Watson Demo: Oncology Diagnosis and Treatment (2 min.)
language processing 3mo ago
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IBM Watson Demo: Oncology Diagnosis and Treatment (8 min.)
language processing 3mo ago
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DrupalCon Sydney: Business Day - Panel: Answering Your Real Life Enterprise Challenges
language processing 3mo ago
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What is Natural Language Processing?
language processing 3mo ago
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4 - 7 - Good-Turing Smoothing - Stanford NLP - Professor Dan Jurafsky & Chris Manning
language processing 4mo ago
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1 - 1 - Course Introduction - Stanford NLP - Professor Dan Jurafsky & Chris Manning
language processing 4mo ago
Abney and Associates News Story The web giants are rising above humans and their petty rules, and t
1d agoTags
Description
http://gigaom.com/2013/05/16/the-web-giants-are-rising-above-humans-and-their-petty-rules-and-that-worries-me/ The titans of the web are rebels, playing by their own rules. That is to be applauded at times, but we should also be thinking about the wider, long-term implications for society and fair competition. I read a great Tumblr post today. No idea who wrote it, but it's an expression of extreme annoyance with Google, PayPal and other online behemoths that have grown way beyond the "startup" stage but that still don't provide proper, human customer support because it's hard to scale at low cost. "It's easy to make big money when you get to keep all the profits," the Glass Balcony post points out, before complaining about the impact of these low-outlay ways on real people: "Relying on automated support systems is no longer adequate. As the amount of online fraud grows over the years, automated systems are becoming less efficient. There is no accurate measure for that, however it's anecdotally known that it's more common nowadays for Google to shut down perfectly well-standing and long-standing AdSense accounts for invalid activity without providing the actual reasons for shutdown. Ditto for PayPal withholding the funds of customers." We all marvel at how quickly these companies grow and at their bounteous financials, but we don't often enough sit back and consider why it is these companies can perform so well. A huge part of that is down to enabling technologies, from the web itself to cloud computing and, yes, natural language processing and other technologies that will make automated customer service more useful and reliable. But that's only part of the picture. At this stage in the game, these companies are playing by different rules to everyone else. In the context of the post I mentioned above, customers are not customers: instead, they are users. If the exchange of money isn't central to the relationship, as it is with an e-commerce operation such as Amazon, then customer support becomes an afterthought -- after all, most of the users aren't paying with anything more than their personal data anyway, so what should they expect? But that's only one facet. Pull back, and this iconoclasm becomes even more concerning. Related Videos: http://www.scribd.com/abney_and_associates http://vimeo.com/62483704
