Dialogue systems have become recently essential in our life. Their use is getting more and more fluid and easy throughout the time. This boils down to the improvements made in NLP and AI fields. In this paper, we try to provide an overview to the current state of the art of dialogue systems, their categories and the different approaches to build them. We end up with a discussion that compares all the techniques and analyzes the strengths and weaknesses of each. Finally, we present an opinion piece suggesting to orientate the research towards the standardization of dialogue systems building.
Google has taken the wraps off of its new gaming service. Dubbed'Stadia,' the gaming platform operates entirely on the cloud and lets users'instantly' stream games on any device, without the need for pesky downloading. The service is slated to launch later this year in the U.S., U.K. and Canada, with more details about available game titles expected to come in the next few months. Stadia ditches the traditional console; instead, users can play games with their existing laptops, desktops, TVs, tablets or phones, as well as their own keyboard and mouse. No updates, no downloads,' Google said.
If Apple's strategy this week is to build excitement for next week's "Show time" event, then it's doing a bang-up job. Following Monday's iPads and Tuesday's iMacs, Apple updated another popular product today with the launch of the second-generation AirPods that bring a new chip, new features, a new case, and more convenience. The new AirPods look exactly like the first-generation model, but include several key enhancements. The biggest is the addition of a new H1 chip, which Apple says was "developed specifically for headphones, delivers performance efficiencies, faster connect times, more talk time and the convenience of hands-free'Hey Siri.'" That means you no longer need to tap your ear to get Siri's attention.
Android users in the EU will soon be offered a choice of browsers and alternative search engines on their devices, Google announced on Tuesday. The announcement is unsurprising, given the European Commission (EC) slapped Google with a record $5 billion fine in July 2018 for stifling browser and search engine competition in the EU. SEE ALSO: Google's Emma Haruka Iwao breaks Pi world record In a blog post, Google's SVP of Global Affairs Kent Walker said the company will "do more to ensure that Android phone owners know about the wide choice of browsers and search engines available to download to their phones." Specifically, owners of both existing and new Android devices will be asked which browser and search apps they want to use. Walker points out that Android users have "always been able to install any search engine or browser," but there's a difference between having Google's search engine and Chrome browser pre-installed as default and just letting users find alternatives on their own, and actively providing customers with a choice.
New AirPods are here at last. On Wednesday, Apple announced its second-generation AirPods. The new wireless earbuds look identical to the old model, but come with a new H1 chip to achieve up to 50 percent longer talk time on a given charge, and enable hands-free "Hey Siri" voice controls. With the H1 chip, the new AirPods get up to 5 hours of listening time and up to 3 hours of talk time (up from 2 hours on the first-gen AirPods). The new chip also enables 2x faster audio connection when switching between Apple devices (i.e.
How do you keep online trolls in check? Dr. Srijan Kumar, a post-doctoral research fellow in computer science at Stanford University, is developing an AI that predicts online conflict. His research uses data science and machine learning to promote healthy online interactions and curb deception, misbehavior, and disinformation. His work is currently deployed inside Indian e-commerce platform Flipkart, which uses it to spot fake reviewers. We spoke to Dr. Kumar ahead of a lecture on healthy online interactions at USC.
When the meaning of a phrase cannot be inferred from the individual meanings of its words (e.g., hot dog), that phrase is said to be non-compositional. Automatic compositionality detection in multi-word phrases is critical in any application of semantic processing, such as search engines; failing to detect non-compositional phrases can hurt system effectiveness notably. Existing research treats phrases as either compositional or non-compositional in a deterministic manner. In this paper, we operationalize the viewpoint that compositionality is contextual rather than deterministic, i.e., that whether a phrase is compositional or non-compositional depends on its context. For example, the phrase `green card' is compositional when referring to a green colored card, whereas it is non-compositional when meaning permanent residence authorization. We address the challenge of detecting this type of contextual compositionality as follows: given a multi-word phrase, we enrich the word embedding representing its semantics with evidence about its global context (terms it often collocates with) as well as its local context (narratives where that phrase is used, which we call usage scenarios). We further extend this representation with information extracted from external knowledge bases. The resulting representation incorporates both localized context and more general usage of the phrase and allows to detect its compositionality in a non-deterministic and contextual way. Empirical evaluation of our model on a dataset of phrase compositionality, manually collected by crowdsourcing contextual compositionality assessments, shows that our model outperforms state-of-the-art baselines notably on detecting phrase compositionality.
Earlier this week, Flickr started taking heat across the web after it was specifically mentioned in a report from NBC News that took a deep dive into the'dirty little secret' of using Creative Commons images to help train facial recognition algorithms. The report mentioned multiple datasets used to help companies train machine learning algorithms to better comprehend diversity in facial recognition programs, but one dataset in particular was emphasized and elaborated on: IBM's'Diversity in Faces' set that was derived and iterated upon from more than 100 million Creative Common images gathered by Yahoo and released for research purposes back in 2014. Almost immediately, users around the web started raining down critical comments. Others, such as Flickr's own Don MacAskill, chimed in as well to help clarify the situation. The issue isn't that Flickr is handing over your photos for free to corporations looking to train their artificial intelligence algorithms.
In summer 2013, I interviewed for a lead role in the data science and analytics team at tech-for-good company JustGiving. During the interview, I said I planned to deliver batch machine learning, graph analytics and streaming analytics systems, both in-house and in the cloud. A few years later, my former boss Mike Bugembe and I were both presenting at international conferences, winning awards and becoming authors! Here is my story, and what I learnt on the journey -- plus my recommendations for you. I've always been interested in artificial intelligence (AI), machine learning (ML) and natural language processing (NLP).