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'Smarter Drafter' Makes Legal Docs #Conversational

'Smarter Drafter' Makes Legal Docs #Conversational | Language Tech Market News | Scoop.it

Built for Amazon’s Alexa device with Smarter Drafter’s legal technology, our prototype creates lawyer-quality non-disclosure agreements. Voice-powered legal assistants will be available in the future, but you can use Smarter Drafter to create AI-drafted legal documents today.

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Major Business Pub Trials #NLG to Write Drafts

Major Business Pub Trials #NLG to Write Drafts | Language Tech Market News | Scoop.it
Forbes’ product team recently began internally testing an AI tool that supplies story threads. It builds on the publisher’s semi-automated topics recommendation feature in Bertie, its content management system (CMS), that produces writing prompts based on reporters’ previous work.
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#NLG Market Value: $680M by 2022

#NLG Market Value: $680M by 2022 | Language Tech Market News | Scoop.it

Natural Language Generation (NLG) market size will be further expanded to $680million by 2022. Key players cited: Retresco, Artificial Solutions, Phrasee, Ax Semantics, Cogentex, Phrasetech, Newsrx, Conversica

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Using AI as Assistant Screen Writer

Using AI as Assistant Screen Writer | Language Tech Market News | Scoop.it

A new short film about a sci fi world in which virtual reality is the primary entertainment was co-written by RivetAI, a suite of AI storytelling tools developed on Hollywood film sets. RivetAI's main features include tasks like script highlighting, scene mapping, and movie budgeting tools. But the headline grabber is the agile story generation, which uses Deep Learning to suitably create narration and dialog, which a human can then brush up.

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@Arria NLG Releases 'Studio for BI' Version 2.0 

@Arria NLG Releases 'Studio for BI' Version 2.0  | Language Tech Market News | Scoop.it

Arria NLG, a provider of Artificial Intelligence-based Natural Language Generation ("NLG") solutions, has released Studio for BI 2.0 ("Studio") — the second release of its ground-breaking NLG add-in for Business Intelligence ("BI") platforms.

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AI Generates a Data-driven US Road-trip Novel

AI Generates a Data-driven US Road-trip Novel | Language Tech Market News | Scoop.it

1 the Road reads as if a Google Street View car were narrating a cross-country journey to itself. This approach is compelling because it offers an opportunity to commune, for a few hours, with the vast network of data-collecting vehicles—drones, cars, devices—that now crawl our geography. “Much like the American literary road-trip books that inspired this project, it’s about capturing the time and place, and right now we’re in a time where we’re pretty confused and amazed by AI, so it captures that wonder and confusion,” film-maker Rapkin says. “Is it profound or is it nonsense? It’s both.”

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'Smart Compose' Now Available for G Suite Email Users

'Smart Compose' Now Available for G Suite Email Users | Language Tech Market News | Scoop.it
Smart Compose in Gmail, now available to G Suite users, intelligently autocompletes your emails. At launch, it can fill in common phrases and relevant addresses, like that of your home and office; in the future, it will get smarter—learning your most-used greetings.
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@Phrasee lands $4m Series A funding to take Automated Copywriting to the US

@Phrasee lands $4m Series A funding to take Automated Copywriting to the US | Language Tech Market News | Scoop.it
Phrasee, the London-headquartered marketing technology company that uses artificial intelligence (AI) to generate optimised marketing copy, has closed a $4m Series A funding round. The investment will fuel Phrasee’s international growth plans, including scaling up its new US operation in San Francisco and the recently announced expansion of its UK team.
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The Value of Artificial Writing: An Interview with @Botnik's Jamie Brew

JB: I expect we’ll continue to see AI. tech that tries to help people do things as fast as they can while making the fewest possible decisions. I think one of Botnik’s roles is to resist that impulse and ask: “What decisions don’t we want to give away? What decisions do humans actually enjoy making?” That’s the challenge of making the hybrid tech we’re trying to make: offering people decisions they want to make.

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Humans Needed in the Loop for Effective #NLG?

Humans Needed in the Loop for Effective #NLG? | Language Tech Market News | Scoop.it

Over the coming years, the field of NLG and NLU could benefit from the development of flexible authoring tools to empower conversation writers in much the same way that tools like Photoshop empowered artists or Final Cut Pro empowered video creators.
A combination of richer tools for language generation and dialog management systems, higher fidelity experiences, and improved use of humans in the loop will produce better content and ultimately launch us forward into a world populated with delightful and seamless computer conversation experiences.

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@Newsworthy Transmutes Data into Story Leads for Journalists

Newsworthy (Sweden) offers a particular benefit to newsrooms with limited personnel resources. By automating data collection, analysis, standard editorial decisions, text generation, distribution, etc., Newsworthy saves reporter’s time and energy. However, this automation requires a substantial initial commitment as the algorithms must be attuned for each new data set, but becomes more valuable the more it is used.

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UK Trial of ‘Robot-written’ Story Service Creates 'News Localisation'

UK Trial of ‘Robot-written’ Story Service Creates 'News Localisation' | Language Tech Market News | Scoop.it
Four new data reporters have recently joined the Reporters And Data And Robots (Radar) automated news service, set up by PA and Urbs Media, which sees stories jointly produced by journalists and artificial intelligence.
LT-Innovate's insight:

It looks like data journalism can help generate "localised" stories for all parts of the country.

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@retresco to Use #NLG to Help Commerzbank Write Research Reports

@retresco to Use #NLG to Help Commerzbank Write Research Reports | Language Tech Market News | Scoop.it

Commerzbank, Germany's second largest bank, is exploring the use of NLG to write analyst reports, in another sign of a shift in how major financial institutions conduct their research. It has partnered with Retresco, a content-automation company to work on a way of creating research reports, especially earnings reports.

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How Phrasee's Copywriting App Cut Ad Cost per Lead by 31%

How Phrasee's Copywriting App Cut Ad Cost per Lead by 31% | Language Tech Market News | Scoop.it
As the AI tool began to show results, Tomorrow TTH and Wowcher gradually increased the budget and scale of the ads they were running. The AI-optimised ads succeeded in reducing Wowcher’s cost per lead by 31%, and there were other benefits as well: namely, a greatly increased Relevance Score.
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#NLU Poised to Transform How We Work

#NLU Poised to Transform How We Work | Language Tech Market News | Scoop.it
If language understanding can be automated in a wide range of contexts, it is likely to have a profound effect on many professional jobs. Communication using written words plays a central part in many people’s working lives. But it will become a less exclusively human task if machines learn how to extract meaning from text and churn out reports.

In some ways, this computer assistance is badly needed. Many information workers struggle to handle the steadily increasing amount of information they are expected to monitor and process.
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@Mosaic Smart Data Launches Instant #NLG-driven Explanatory Reports for FICC Analytics

@Mosaic Smart Data Launches Instant #NLG-driven Explanatory Reports for FICC Analytics | Language Tech Market News | Scoop.it

Mosaic Smart Data (Mosaic), a real-time FICC data analytics company, has launched a new feature for its MSX platform enabling users to instantly generate text reports on their trading activity data using machine learning. Using a machine learning technique called natural language generation (NLG), MSX can generate trading activity reports on any set of analytics on the platform including both voice and electronic trade data. These reports highlight trends and identify anomalies in the transaction data which provide points of interest for traders and sales teams. Using advanced machine learning techniques, the reports can also provide explanations for these anomalies, moving the analytics beyond simple description to providing causative analysis.

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How @Primer is Building Machine-Generated Knowledge Bases from Disparate Data Sources

Primer is publicly releasing free-licensed data about scientists that we’ve been generating along the way, starting with 30,000 computer scientists. Only 15% of them are known to Wikipedia. The data set includes 1 million news sentences that quote or describe the scientists, metadata for the source articles, a mapping to their published work in the Semantic Scholar Open Research Corpus, and mappings to their Wikipedia and Wikidata entries.

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@Arria 's #NLG Engine Powers Ernst & Young's Global Portal

@Arria 's #NLG Engine Powers Ernst & Young's Global Portal | Language Tech Market News | Scoop.it

Arria NLG, a provider of Natural Language Generation solutions, has successfully launched of EY's Natural Language Generation portal. This solution allows EY employees to make better and faster decisions and to provide its clients with exceptional client services.

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​Workday People Analytics Using #NLG to Create Workforce Stories for Management

​Workday People Analytics Using #NLG to Create Workforce Stories for Management | Language Tech Market News | Scoop.it
Workday is planning to use machine learning to better surface workforce issues for executives with simple narratives.
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Report: #NLG Market Worth $680M By 2022

Report: #NLG Market Worth $680M By 2022 | Language Tech Market News | Scoop.it
Natural Language Generation (NLG) market size to maintain the average annual growth rate of 20.89% from 150 million $ in 2014 to 265 million $ in 2017, analysts believe that in the next few years, Natural Language Generation (NLG) market size will be further expanded, we expect that by 2022, The market size of the Natural Language Generation (NLG) will reach 680 million $.
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#NLG Drives @Gravyty Stewardship's Giving Thanks and Cultivating Donors App

#NLG Drives @Gravyty Stewardship's Giving Thanks and Cultivating Donors App | Language Tech Market News | Scoop.it

Gravyty, a provider of AI-enabled fundraising software, has launched Gravyty Stewardship -the social good industry's first AI product developed to help frontline fundraisers thank donors today, and cultivate them for future giving. It uses Natural Language Generation technology to learn the writing style of frontline fundraisers and predict next steps, seamlessly within the fundraiser's email.

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'Deep-Speare' Emulates William S Using ML

'Deep-Speare' Emulates William S Using ML | Language Tech Market News | Scoop.it

A deep learning model was trained on William Shakespeare's sonnets. The results were mixed.

While Deep-Speare could generate poems that scored high in rhyme and meter (even higher than human poets, according to the experts), the poems overall lacked readability and emotion.

“Despite excellent form,” the authors conclude, “the output of our model can easily be distinguished from human-written poetry due to its lower emotional impact and readability

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Five Innovative #NLG Startups In India

Five Innovative #NLG Startups In India | Language Tech Market News | Scoop.it

Senseforth.ai:
vPhrase
Stride
Recommenderlabs
Contentop

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@Phrasee #NLG Now on Salesforce AppExchange

@Phrasee #NLG Now on Salesforce AppExchange | Language Tech Market News | Scoop.it

Phrasee has launched Phrasee email subject line automation on the Salesforce AppExchange, empowering businesses to create brand-compliant email subject lines, with the power of AI.

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Global #NLG Market to Grow at 21.1% from $280M Today

Global #NLG Market to Grow at 21.1% from $280M Today | Language Tech Market News | Scoop.it

The Global Natural Language Generation Market accounted for USD 279.5 million in 2017 and is projected to grow at a CAGR of 21.1% during the forecast period of 2018 to 2025. The upcoming market report contains data for historic years 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025

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