Podcasts about disambiguation

Silent Planet's Garrett Russell joins us to rank and review every Underoath album. From their post-hardcore roots to their modern metalcore anthems, we cover each and every album in-depth to find out which is best. Find out which Underoath album we think reigns supreme in this episode of Discog. Discourse!We also discuss Silent Planet's recent album SUPERBLOOM, what keeps their sound fresh, and how we all feel about "Christian" bands swearing.Silent Planet's website: https://silentplanetmerch.com/Join the discourse!Follow us on social media to let us know what you think about this band!TikTok: ⁠⁠⁠DiscogDiscourse⁠⁠⁠Twitter: ⁠⁠⁠Discog_Pod⁠⁠⁠Instagram: ⁠⁠⁠discog.discourse⁠⁠⁠Time Codes:Intro - 0:00Chatting with Garrett - 0:53Shoutouts - 22:587th Place - 25:006th Place - 37:435th Place - 49:214th Place - 1:05:213rd Place - 1:17:252nd Place - 1:30:361st Place - 1:44:58Patreon Ranking - 2:03:40Songs used in this episode:Anyone Can Dig A Hole But It Takes A Real Man To Call It Home, Hallelujah, In Division, In Regards To Myself, It's Dangerous Business Walking Out Your Front Door, Rapture, Reinventing Your Exit, When The Sun Sleeps, Writing On The WallsUnderoath's albums are:The Changing Of Times, They're Only Chasing Safety, Define The Great Line, Lost In The Sound Of Separation, Ø (Disambiguation), Erase Me, VoyeuristUnderoath is:Spencer Chamberlain, Aaron Gillespie, Grant Brandell, Timothy McTague, Christopher Dudley

Nick is joined by Arpita Bhattacharyya, Chief Climate Officer at the Department of Energy's Loan Programs Office, where she helps understand common barriers that slow down deployment in the Loan Programs Office's $200+ billion portfolio of deals. Her work also entails understanding the community engagement, equity, and communication considerations necessary to develop and fund new programs and projects, like the LPO's Tribal Energy Financing Program. Specifically, Nick and Arpita discussed:Tribal Energy Finance Program: Arpita shares insights into the Tribal Energy Finance Program, highlighting how the LPO provides specific technical assistance for tribes across the country to develop new clean energy projects like solar and storage microgrids to enhance energy resilience and sovereignty. Nick and Arpita also discuss the success of the Viejas microgrid project as a template for future tribal energy initiatives.Industrial Decarbonization: Nick and Arpita delve into the challenges and opportunities inherent to industrial decarbonization, focusing on sectors like low-carbon cement and steel. Arpita emphasizes the need for patient capital and innovative solutions. We also discuss how the federal government's investments in industrial decarbonization projects signal a shift towards a more holistic energy transition and a broader lens of sustainability.Community Engagement and Communication: Arpita highlights the foundational importance of effective community engagement for the entirety of the energy transition.Timestamps:00:03:23 - Arpita's Background in Climate Work00:05:12 - Role at the Loan Programs Office00:06:31 - Disambiguation of Government Offices and the Department of Energy's Mandate00:10:03 - Work at the Loan Programs Office in 202400:12:08 - Tribal Energy Finance Program Stewardship00:17:39 - Viejas Microgrid Project Overview00:22:10 - Templatizing Solar and Storage Projects00:25:07 - Addressing Program Challenges00:30:03 - Speeding Up the Loan Programs Office Process00:36:02 - Communicating Energy Transition Benefits00:40:05 - Challenges in Industrial DecarbonizationDon't miss out on this podcast if you're interested in learning more about the state of climate tech, the energy transition, and the DOE's Loan Programs Office in said transition. Subscribe on Spotify, Apple, Google, or your favorite podcast platform.Learn more about the Loan Programs Office and projects like the Viejas Tribe microgrid on their website: https://www.energy.gov/lpo/loan-programs-office + https://www.energy.gov/lpo/articles/lpo-announces-conditional-commitment-viejas-microgrid-build-renewable-utility-scaleIf you love listening to The Keep Cool Show, please leave me a 5-star review on Rate My Podcast: https://ratethispodcast.com/keepcoolThank you so much.Plus, stay up-to-date on all things Keep Cool here: https://keepcool.co/ and follow Nick on Twitter: https://x.com/nickvanosdol and LinkedIn:

Join Ryan as he interviews fellow podcaster and tech analyst Michael Fawcett. They explore how AI can revolutionize sales strategies and supercharge business growth and outline the incredible potential of AI to streamline processes, enhance skills, and boost productivity. Join 2,500+ readers getting weekly practical guidance to scale themselves and their companies using Artificial Intelligence and Revenue Cheat Codes.   Explore becoming Superhuman here: https://superhumanrevenue.beehiiv.com/ KEY TAKEAWAYS AI can dramatically reduce time spent on tasks, automate execution, and provide custom training to rapidly upskill sales teams. Leveraging AI for deep work tasks like deal strategy and revenue leader tasks can lead to significant time savings and improved outcomes. AI enables salespeople to acquire new skills such as graphic design, music, and video creation within seconds, enhancing their capabilities. Onboarding time for new sales reps can be reduced from months to weeks by using AI to create custom learning plans and role-playing scenarios. Retention can be improved by using AI to automate tasks that salespeople don't enjoy or excel at, increasing job satisfaction. Small and medium businesses can use AI to focus on their top 20% of customers and multiply outcomes without adding headcount. The sales professional of the future should focus on gaining attention through depth over quantity and consistently look for ways to leverage AI in their daily tasks. Tracking progress and iterating on AI usage can lead to becoming a leader in the organization and future-proofing one's career. BEST MOMENTS "You have the capability to become superhuman and offload a lot of the things that you don't like about your job, acquire new skills at an insane rate and do things that you've never been able to do just by using words." "I tested it on basically the KPIs of the executives that we were selling to... It got like 95 per cent of the way there with one question. I was like, okay, this is scary, but exciting at the same time." "If you enable your team, specifically with prompts and a prompt library, and a whole innovation environment around AI, what will start to happen is they will naturally start to want to find ways where they could automate the things that either they're not good at, or they don't like." "Customized learning is huge. You could take the data set from what the company does, who they sell to, their ICP, and then you could probably even download the new employee's job experience from LinkedIn and factor that in and have a whole learning plan customized based on that." "I would just make it a priority for my team and my org to use and innovate with these tools. Make it a priority, do a weekly meeting with your team, give them a running start by you learning as a leader, and then having them come back and identify the best practices after the first week and then innovate on top of that every week thereafter." Ryan Staley Founder and CEO Whale Boss ryan@whalesellingsystem.com www.ryanstaley.io Saas, Saas growth, Scale, Business Growth, B2b Saas, Saas Sales, Enterprise Saas, Business growth strategy, founder, ceo: https://www.whalesellingsystem.com/closingsecrets

Could Jim Harbaugh go to the NFL? Sure! Could he stay at Michigan? Also sure! There are a lot of things that have to happen to get the nine-year Michigan football head coach away from Ann Arbor, and while they certainly could happen, we work through the actual what would need to happen to lure him away from the Wolverines. And if he does go? Why we still feel good (and what maybe doesn't) about this current iteration.Support Us By Supporting Our Sponsors!LinkedInThese days every new potential hire can feel like a high stakes wager for your small business. That's why LinkedIn Jobs helps find the right people for your team, faster and for free. Post your job for free at LinkedIn.com/lockedoncollege. Terms and conditions apply.Jase MedicalEmpower yourself when you purchase a Jase Case, providing you with a personal supply of 5 antibiotics that treat 50+ infections. Get yours today at jasemedical.com and use code LOCKEDON to get $20 off your order.GametimeDownload the Gametime app, create an account, and use code LOCKEDON for $20 off your first purchase.FanDuelRight now, NEW customers get ONE HUNDRED AND FIFTY in BONUS BETS – GUARANTEED when you place a FIVE DOLLAR BET. Visit FanDuel.com/LOCKEDON to get started.eBay MotorsWith all the parts you need at the prices you want, it's easy to turn your car into the MVP and bring home that win. Keep your ride-or-die alive at EbayMotors.com. Eligible items only. Exclusions apply. eBay Guaranteed Fit only available to US customers.FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expires in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN) Learn more about your ad choices. Visit podcastchoices.com/adchoices

Could Jim Harbaugh go to the NFL? Sure! Could he stay at Michigan? Also sure! There are a lot of things that have to happen to get the nine-year Michigan football head coach away from Ann Arbor, and while they certainly could happen, we work through the actual what would need to happen to lure him away from the Wolverines. And if he does go? Why we still feel good (and what maybe doesn't) about this current iteration. Support Us By Supporting Our Sponsors! LinkedIn These days every new potential hire can feel like a high stakes wager for your small business. That's why LinkedIn Jobs helps find the right people for your team, faster and for free. Post your job for free at LinkedIn.com/lockedoncollege. Terms and conditions apply. Jase Medical Empower yourself when you purchase a Jase Case, providing you with a personal supply of 5 antibiotics that treat 50+ infections. Get yours today at jasemedical.com and use code LOCKEDON to get $20 off your order. Gametime Download the Gametime app, create an account, and use code LOCKEDON for $20 off your first purchase. FanDuel Right now, NEW customers get ONE HUNDRED AND FIFTY in BONUS BETS – GUARANTEED when you place a FIVE DOLLAR BET. Visit FanDuel.com/LOCKEDON to get started. eBay Motors With all the parts you need at the prices you want, it's easy to turn your car into the MVP and bring home that win. Keep your ride-or-die alive at EbayMotors.com. Eligible items only. Exclusions apply. eBay Guaranteed Fit only available to US customers. FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expires in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN) Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this podcast episode, host Ole Olesen-Bagneux welcomes John O'Gorman, a visionary in data management and semantic analysis, and Co-Founder and CEO of Semantium, Inc. John traces his path from the University of Calgary to his pioneering work in knowledge graphs, highlighting pivotal moments and significant breakthroughs in his career.Delving into his nuanced approach to data classification and knowledge graphs, John discusses the complex dance between language and data. He shares key insights into making data more accessible and the critical role of precise language in the realm of data analysis.The conversation also explores John's strategies for managing both structured and unstructured data, with a particular focus on technical documentation. He stresses the importance of uniform language usage in effective data management, and how it forms the backbone of data comprehension and utility.

Welcome all the new watchers and listeners to the Locked On Wolverines Podcast. Thursday's show had a lot of accusations of 'podbait!' and those who understood a bit of our cryptic revelations were putting the wrong emphAsis on the wrong syllAble. So, we're making a few clarifications to make sure we're all on the same page on a few key points. Then, we're delving into the Ohio State gave TCU Michigan's signals article and why it's ridiculous on two fronts. Then, where are we now? A little more clarification and revelation, so don't miss the end!Support Us By Supporting Our Sponsors!eBay MotorsWith all the parts you need at the prices you want, it's easy to turn your car into the MVP and bring home that win. Keep your ride-or-die alive at EbayMotors.com. Eligible items only. Exclusions apply. eBay Guaranteed Fit only available to US customers.Athletic BrewingGo to AthleticBrewing.com and enter code LOCKEDON to get 15% off your first online order or find a store near you! Athletic Brewing. Milford, CT and San Diego, CA. Near Beer.PrizePicksGo to PrizePicks.com/lockedoncollege and use code lockedoncollege for a first deposit match up to $100! Daily Fantasy Sports Made Easy!GametimeDownload the Gametime app, create an account, and use code LOCKEDONCOLLEGE for $20 off your first purchase.Jase MedicalGet $20 off these lifesaving antibiotics with Jase Medical by using code LOCKEDON at checkout on jasemedical.com.LinkedInLinkedIn Jobs helps you find the qualified candidates you want to talk to, faster. Post your job for free at LinkedIn.com/LOCKEDONCOLLEGE. Terms and conditions apply.FanDuelMake Every Moment More. Right now, NEW customers can bet FIVE DOLLARS and get TWO HUNDRED in BONUS BETS – GUARANTEED. Visit FanDuel.com/LOCKEDON to get started.FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expires in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN) Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome all the new watchers and listeners to the Locked On Wolverines Podcast. Thursday's show had a lot of accusations of 'podbait!' and those who understood a bit of our cryptic revelations were putting the wrong emphAsis on the wrong syllAble. So, we're making a few clarifications to make sure we're all on the same page on a few key points. Then, we're delving into the Ohio State gave TCU Michigan's signals article and why it's ridiculous on two fronts. Then, where are we now? A little more clarification and revelation, so don't miss the end! Support Us By Supporting Our Sponsors! eBay Motors With all the parts you need at the prices you want, it's easy to turn your car into the MVP and bring home that win. Keep your ride-or-die alive at EbayMotors.com. Eligible items only. Exclusions apply. eBay Guaranteed Fit only available to US customers. Athletic Brewing Go to AthleticBrewing.com and enter code LOCKEDON to get 15% off your first online order or find a store near you! Athletic Brewing. Milford, CT and San Diego, CA. Near Beer. PrizePicks Go to PrizePicks.com/lockedoncollege and use code lockedoncollege for a first deposit match up to $100! Daily Fantasy Sports Made Easy! Gametime Download the Gametime app, create an account, and use code LOCKEDONCOLLEGE for $20 off your first purchase. Jase Medical Get $20 off these lifesaving antibiotics with Jase Medical by using code LOCKEDON at checkout on jasemedical.com. LinkedIn LinkedIn Jobs helps you find the qualified candidates you want to talk to, faster. Post your job for free at LinkedIn.com/LOCKEDONCOLLEGE. Terms and conditions apply. FanDuel Make Every Moment More. Right now, NEW customers can bet FIVE DOLLARS and get TWO HUNDRED in BONUS BETS – GUARANTEED. Visit FanDuel.com/LOCKEDON to get started. FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expires in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN) Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: CEA Disambiguation, published by Jeff Kaufman on December 19, 2022 on The Effective Altruism Forum. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Today, Most Excellent Theophilus, blackdoctor21 joins us to discuss the reality of heaven and hell, which popular culture has greatly obviouscated.

The term “ding dong” has many meanings, and that's what today's episode is all about. It's a sound, it's a snack cake, it's anything you want it to be! Listen to what else “ding dong” means as read by Rachel Teichman, LMSW and Victor Varnado, KSN. Produced and hosted by Victor Varnado & Rachel Teichman Full Wikipedia article here: https://en.wikipedia.org/wiki/Ding_Dong_(disambiguation) WE APPRECIATE YOUR SUPPORT ON PATREON!https://www.patreon.com/wikilistenpodcast Find us on social media! https://www.facebook.com/WikiListen Instagram @WikiListen Twitter @Wiki_Listen Get bonus content on Patreon Learn more about your ad choices. Visit megaphone.fm/adchoices

Click for full show notes, exercises, and parenting scripts from this episodeIf you've ever tried to change your teen's mind, you know that it's nearly impossible! No matter how much you try to persuade them to take harder classes, hang out with different friends or pick more lucrative extracurriculars…they tend to stick stubbornly to their own choices. It can start to feel like you're going crazy, spending hours of your life begging teens to change their minds–especially when it's over something serious like drug use or toxic relationships.This disconnect applies not only in our homes, but our society at large. Our world is more divided than ever, and it seems like there's no way to have productive conversations about what really matters. Online forums and social media have contributed immensely to this polarization, by allowing us to find people who agree with us wholeheartedly, never challenging our opinions or encouraging us to think critically. In some cases, this can lead people down rabbit holes into conspiracy theories or even cults–and it's not easy to change their minds and bring them back!So how can we start up  productive discourse and change people's minds for the better? We're talking to David McRaney  to find out. David is a science journalist and author of the popular blog, You Are Not So Smart, which ran for years before becoming a successful podcast and bestselling book. Today,  he's here to talk about his latest book, How Minds Change: The Science of Belief, Opinion and Persuasion,  to help us understand the fascinating psychological process of forming and changing  opinions.In our interview, we're discussing why it's so incredibly difficult to change our teens' minds about anything! Plus, David explains why we need to consider teens' perspectives before making decisions, and breaks down the importance of peer groups in the persuasion process...Click for full show notes, exercises, and parenting scripts from this episode

Kimi Shelter is the dynamic front woman for the amazing glitter punk, rock n roll band Starbenders. Starbenders have been gaining steam for years and right now they are running on the fuel of their incredible new single "If You Need It". In this episode, Kimi and I talk about her dad sneaking her Pixies albums to her mom's dismay, seeing Van Halen as her first concert ever, and how touring with Alice in Chains forever changed the Starbenders. Kimi Shelter / Starbenders Social Media - @kimishelter @starbenders "If You Need It" Video - https://www.youtube.com/watch?v=4qzGWENJSmA Artists we discuss in the show: Starbenders The Pixies Yngwie Malmsteen Depeche Mode Led Zeppelin Joy Division P.J. Harvey Van Halen Guns n Roses Alice in Chains Yung Blud Dua Lipa Palaye Royal Envy of None MyFi Podcast Website - www.myfipodcast.com Social Media - @myfipodcast MyFi Stinger Music by Cure Audio @cureaudioco ©2022 MyFiPodcast DISCLAIMER: I'd like to apologize for calling The Cure album "Disambiguation", it's in fact "Disintegration"... I know this... it's one of my favorite albums ever. "Fascination Street" is one of my favorite songs of all time. I just had a brain fart and I would like to repent and apologize to The Cure and music fans everywhere for misspeaking that album title...

Biden abandons strategic ambiguity, gas prices go up, and the Nina and Sohrab watch the Northman. Sohrab Ahmari, Edwin Aponte, and Nina Power join Matthew Schmitz.

Sponsor of the episode is the global trading platform OctaFX. For more information, please visit the website: https://bit.ly/VUSI100_OctaFX Haven't invested yet? Sign up, start copying any Master Trader, and apply a 50% bonus to your investment profit. Download the OctaFX Copytrading App, and let the best professional traders make money for you: : https://bit.ly/Vusi__OctaFX Disclaimer: Investing involves a level of risk, we do not recommend investing without prior expertise. Notice: beware of scammers who copy our content and name, never send personal data or funds via messengers (WhatsApp, Telegram etc.)

Today, Most Excellent Theophilus, we welcome back our Dear Brother the Blackdoctor to address in depth what the Calvinist means by Unconditional Election in response to recent misrepresentation.

Let's celebrate the 9-0 Michigan basketball team! What we saw on Sunday night was the culmination of all the pieces working together as supposed. We talk that, what we've heard from our source on Jim Harbaugh and his supposed interest in the NFL and a PSA for the raging Eeyores out there. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Let's celebrate the 9-0 Michigan basketball team! What we saw on Sunday night was the culmination of all the pieces working together as supposed. We talk that, what we've heard from our source on Jim Harbaugh and his supposed interest in the NFL and a PSA for the raging Eeyores out there. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Stephen Harrison & Omer Benjakob discuss how Wikipedia is using its policies to cover the novel coronavirus. How does the internet's encyclopedia stay accurate when news and knowledge about COVID-19 change by the hour? Plus: Future historians will rely on Wikipedia's COVID-19 coverage. The deletions, the editor fights...all of it will be important to researchers studying this period.

This is about a day that happened a couple of days ago, and; again & again & again & again...over the past hundreds of years! --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/nick.o.post/support

Recorded by Carolina Ebeid for Poem-a-Day, a series produced by the Academy of American Poets. Published on April 27, 2020. www.poets.org

Howdy Partner! It's Evan, arriving on horseback with a new episode of Derbypod, the number 2 podcast on iTunes for horse rearin' and ridin'. Just kiddin'! It's actually the episode of DCOMcast where we watch Ready to Run, ANOTHER Disney Channel Horse Movie!  Great Great Moments: Bullets à la carte, Disambiguation (disambiguation), Gorillas are not concerned with security theater, The current state of the generational skill meta,  Fictional characters LOVE Lost

HRNR is the project of Berlin based sound designer and live performer Mattia Onori expresses himself approaching production strictly connected to modular synthesis and improvisation, spinning vinyls since 2006 he has been experimenting and researching ambient and techno electronic music as creative industry´s expressions and reflections of today’s society. His sound features both aggressive characteristics and softer smoothness at the edge between natural, organic sound and noisy industrial music Tracklist @ligovskoi -Mungu [ @fieldrecords ] @simonebauer - La Quiete [ @norite ] @plants-army-revolver - Annapurna Ritual [ @avian-music ] @retina-it - Unkown Totality [ @nonplus-records ] @magnetismeanimal - L'Enthousiasme Des Statues [ @ygam ] @forest-drive-west - Block Nine [ @midgar_records ] @kamikaze-space-programme - Skin Cells [ @osirismusic-uk ] @prequeltapes - One Thousand Ten [ @asacredgeometry ] @synthek - Disambiguation ( @asc ' Grey Area Remix) [ @natchrecords ] @Desroi - Niab [ ENVRA ] @atypikalmusik - IC 555 [ @koslif ] Varuna - Ney [ @amenthia-recordings ] @chptr - Occasional Burst [ @chptr ] Madteo - Room 1 [ @morphinerecords ] @halfwsr - Exclave [ @contort-berlin ] @tarek-soltani - No Dawn [ Unreleased ] Follow HRNR here: @hrnrmusic https://www.residentadvisor.net/dj/hrnr https://www.facebook.com/hrnrhrnr/ https://www.instagram.com/hrnrmusic/ ------------------------------------------------------------------------------------------------------------ OUTER DIMENSION https://www.instagram.com/outerdimension/ https://www.facebook.com/OUTERDIMENSION/ Infos & Promos outerdimension.au@gmail.com

After disappointing a legion of fans around the world by calling time on the band in 2013, Underoath surprised everyone - including themselves - when the decision to reunite for a run of anniversary shows for Define The Great Line in 2015 ultimately led to a unanimous decision to reignite the band's career."We played six nights a week with one day off and these shows were two hours long"! recalled vocalist Spencer Chamberlain. "I was singing for two hours per night for six days in a row every week, I was fucking dead! The one day we had off a week I was laying in bed thinking how am I gonna make it through this tour? I think during the first practice me and Aaron (Gillespie, drums) had talked about why aren't we just going for this? This is stupid. We should be making music. Halfway through that tour me and Aaron decided that we were going to write a record. Whether it be Underoath or not we weren't sure but me and him decided we were gonna make some music together and we had to wait for the other guys to figure it out. I think halfway through that tour we decided we would do a European run and then halfway through that, we did the Australian tour and decided everyone was on board to make a record. It did take time. It wasn't right away like 'hey, let's get the band back together and make a record and do this full time again. It was very step by step".In the full interview Spencer talks about Underoath's upcoming Australian tour with Amity Affliction, Crossfaith and Pagan, the fact they are actually supporting not headlining, the benefits of playing to another bands crowd, last years comeback album Erase Me, the break up of the band and how close it came to being permanent, the musical changes in the band between their 2010 album Disambiguation and Erase Me eight years later, a message for Aussie fans and more.

References: - Pessimist's Archive on Twitter: https://twitter.com/PessimistsArc - David Deutsch, "Creative Blocks: How Close are We to Creating Artificial Intelligence?": https://aeon.co/essays/how-close-are-we-to-creating-artificial-intelligence - David Deutsch, CBC interview from 2018 about AGI: https://www.cbc.ca/player/play/1251489859794 Further reading: - “The Bucket and the Searchlight” by Karl Popper - “The Beginning of Infinity” by David Deutsch, chapter 1 “The Reach of Explanations”, and chapter 6 “The Jump to Universality” If you have any questions or comments, please leave them here or tweet at me: https://twitter.com/dchackethal

Embrace your inner lady of the night: Tamar is ready to rumble. Smiting husbands left and right with her deadly sexuality, this lady's a Bible powerhouse with the best of them.  Disambiguation: this is the Tamar from Genesis, not 2 Samuel.   Share with your friends, but only the cool ones. Follow us on Insta @BibleBabesPodcast Read along at biblegateway.com: https://www.biblegateway.com/passage/?search=Genesis+38&version=MEV  Intro music is "Guts and Bourbon" by Kevin MacLeod. Visit his awesome site at: https://incompetech.com/

ACL 2018 paper by Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, Omri Abend. In this episode, Nathan discusses how the meaning of prepositions varies, proposes a hierarchy for classifying the semantics of function words (e.g., comparison, temporal, purpose), and describes empirical results using the provided dataset for disambiguating preposition semantics. Along the way, we talk about lexicon-based semantics, multilinguality and pragmatics. https://www.semanticscholar.org/paper/Comprehensive-Supersense-Disambiguation-of-English-Schneider-Hwang/8310213af102913b9e74e7dfe6864f3aa62a5a5e

Disambiguation & this week in dystopia; Disney drones; streaming leading to piracy; Amazon poaching eBay; Facebook's pivot to video lie; Uber Works; virtual empathy; a real use for blockchain; Apple vs Bloomberg; whisper mode; insects are disappearing; don't look, Marion! Sponsored by Hover. For 10% off your first order head over to hover.com/gog and get your domain on!  For FREE bacon, FREE shipping, and $20 off your first box, go to ButcherBox.com/gog enter promo code gog. Show notes at http://gog.show/291

To enable people to explore a digital collection, the platform that hosts that collection needs to have a comprehensive understanding of the information it is presenting. However, the level and quality of assistance that can be provided to a user by a computer is largely dependent on the amount of information that the system has about the collection. While such information can be provided by a process of manually tagging and annotating archive contents, this can be expensive, time-consuming or even infeasible if the collection is too large. This talk will explore the challenges involved in the automatic identification and disambiguation of entities within digital cultural heritage collections. Seamus Lawless is Assistant Professor at Trinity College Dublin. Our Big Ideas seminar series is funded by the Friends of The National Archives.

Through the Google Hole this week, Scott and Jer dig into the horrors of national parks after the morbid story of The Dissolving Man surfaces (unlike the man himself) at Yellowstone National Park. From there, journey into unusual deaths, German mass suicides, secret Nazi operations and dangerous hipster beards, all while the Flintstones try to sell you cigarettes.

In this episode I discuss the philosophical concept of disambiguation and the need to be able to disambiguate important concepts when engaging with a different worldview or belief than our own. When atheistic fundamentalists compare God to a Flying Spaghetti Monster, have they made a valid point or are they showing an inability to disambiguate? We will see in this episode of the Freed Thinker Podcast! Enjoy!

Gracie Gracie family Hélio Gracie Ōuchi gari Throw (grappling) Scythe War scythe Bohemian earspoon Boar spear Bear spear Bay leaf Killing jar The Killing Jar (disambiguation) Opening Theme: Knockin’ a Jug by Louis Armstrong Episode Music: When You’re Smiling; Don’t Jive Me; I Ain’t Got Nobody; Cornet Chop Suey; Weary Blues; I’m Not Rough; West […]

Blindfold (disambiguation) Big Calm Who Can You Trust? (album) Morcheeba Myspace Music Credits: Opening Theme: Knockin’ a Jug by Louis Armstrong Episode Music: Save It Pretty Mama; Alligator Crawl; Muggles; I Ain’t Got Nobody; No One Else But You; Sweet Little Papa; I’m Gonna Gitcha; Jazz Lips; Sweet Savannah Sue; Willie the Weeper; Fireworks; Ain’t […]

We present methods for improved handling of morphologically rich languages (MRLS) where we define MRLS as languages that are morphologically more complex than English. Standard algorithms for language modeling, tagging and parsing have problems with the productive nature of such languages. Consider for example the possible forms of a typical English verb like work that generally has four four different forms: work, works, working and worked. Its Spanish counterpart trabajar has 6 different forms in present tense: trabajo, trabajas, trabaja, trabajamos, trabajáis and trabajan and more than 50 different forms when including the different tenses, moods (indicative, subjunctive and imperative) and participles. Such a high number of forms leads to sparsity issues: In a recent Wikipedia dump of more than 400 million tokens we find that 20 of these forms occur only twice or less and that 10 forms do not occur at all. This means that even if we only need unlabeled data to estimate a model and even when looking at a relatively common and frequent verb, we do not have enough data to make reasonable estimates for some of its forms. However, if we decompose an unseen form such as trabajaréis `you will work', we find that it is trabajar in future tense and second person plural. This allows us to make the predictions that are needed to decide on the grammaticality (language modeling) or syntax (tagging and parsing) of a sentence. In the first part of this thesis, we develop a morphological language model. A language model estimates the grammaticality and coherence of a sentence. Most language models used today are word-based n-gram models, which means that they estimate the transitional probability of a word following a history, the sequence of the (n - 1) preceding words. The probabilities are estimated from the frequencies of the history and the history followed by the target word in a huge text corpus. If either of the sequences is unseen, the length of the history has to be reduced. This leads to a less accurate estimate as less context is taken into account. Our morphological language model estimates an additional probability from the morphological classes of the words. These classes are built automatically by extracting morphological features from the word forms. To this end, we use unsupervised segmentation algorithms to find the suffixes of word forms. Such an algorithm might for example segment trabajaréis into trabaja and réis and we can then estimate the properties of trabajaréis from other word forms with the same or similar morphological properties. The data-driven nature of the segmentation algorithms allows them to not only find inflectional suffixes (such as -réis), but also more derivational phenomena such as the head nouns of compounds or even endings such as -tec, which identify technology oriented companies such as Vortec, Memotec and Portec and would not be regarded as a morphological suffix by traditional linguistics. Additionally, we extract shape features such as if a form contains digits or capital characters. This is important because many rare or unseen forms are proper names or numbers and often do not have meaningful suffixes. Our class-based morphological model is then interpolated with a word-based model to combine the generalization capabilities of the first and the high accuracy in case of sufficient data of the second. We evaluate our model across 21 European languages and find improvements between 3% and 11% in perplexity, a standard language modeling evaluation measure. Improvements are highest for languages with more productive and complex morphology such as Finnish and Estonian, but also visible for languages with a relatively simple morphology such as English and Dutch. We conclude that a morphological component yields consistent improvements for all the tested languages and argue that it should be part of every language model. Dependency trees represent the syntactic structure of a sentence by attaching each word to its syntactic head, the word it is directly modifying. Dependency parsing is usually tackled using heavily lexicalized (word-based) models and a thorough morphological preprocessing is important for optimal performance, especially for MRLS. We investigate if the lack of morphological features can be compensated by features induced using hidden Markov models with latent annotations (HMM-LAs) and find this to be the case for German. HMM-LAs were proposed as a method to increase part-of-speech tagging accuracy. The model splits the observed part-of-speech tags (such as verb and noun) into subtags. An expectation maximization algorithm is then used to fit the subtags to different roles. A verb tag for example might be split into an auxiliary verb and a full verb subtag. Such a split is usually beneficial because these two verb classes have different contexts. That is, a full verb might follow an auxiliary verb, but usually not another full verb. For German and English, we find that our model leads to consistent improvements over a parser not using subtag features. Looking at the labeled attachment score (LAS), the number of words correctly attached to their head, we observe an improvement from 90.34 to 90.75 for English and from 87.92 to 88.24 for German. For German, we additionally find that our model achieves almost the same performance (88.24) as a model using tags annotated by a supervised morphological tagger (LAS of 88.35). We also find that the German latent tags correlate with morphology. Articles for example are split by their grammatical case. We also investigate the part-of-speech tagging accuracies of models using the traditional treebank tagset and models using induced tagsets of the same size and find that the latter outperform the former, but are in turn outperformed by a discriminative tagger. Furthermore, we present a method for fast and accurate morphological tagging. While part-of-speech tagging annotates tokens in context with their respective word categories, morphological tagging produces a complete annotation containing all the relevant inflectional features such as case, gender and tense. A complete reading is represented as a single tag. As a reading might consist of several morphological features the resulting tagset usually contains hundreds or even thousands of tags. This is an issue for many decoding algorithms such as Viterbi which have runtimes depending quadratically on the number of tags. In the case of morphological tagging, the problem can be avoided by using a morphological analyzer. A morphological analyzer is a manually created finite-state transducer that produces the possible morphological readings of a word form. This analyzer can be used to prune the tagging lattice and to allow for the application of standard sequence labeling algorithms. The downside of this approach is that such an analyzer is not available for every language or might not have the coverage required for the task. Additionally, the output tags of some analyzers are not compatible with the annotations of the treebanks, which might require some manual mapping of the different annotations or even to reduce the complexity of the annotation. To avoid this problem we propose to use the posterior probabilities of a conditional random field (CRF) lattice to prune the space of possible taggings. At the zero-order level the posterior probabilities of a token can be calculated independently from the other tokens of a sentence. The necessary computations can thus be performed in linear time. The features available to the model at this time are similar to the features used by a morphological analyzer (essentially the word form and features based on it), but also include the immediate lexical context. As the ambiguity of word types varies substantially, we just fix the average number of readings after pruning by dynamically estimating a probability threshold. Once we obtain the pruned lattice, we can add tag transitions and convert it into a first-order lattice. The quadratic forward-backward computations are now executed on the remaining plausible readings and thus efficient. We can now continue pruning and extending the lattice order at a relatively low additional runtime cost (depending on the pruning thresholds). The training of the model can be implemented efficiently by applying stochastic gradient descent (SGD). The CRF gradient can be calculated from a lattice of any order as long as the correct reading is still in the lattice. During training, we thus run the lattice pruning until we either reach the maximal order or until the correct reading is pruned. If the reading is pruned we perform the gradient update with the highest order lattice still containing the reading. This approach is similar to early updating in the structured perceptron literature and forces the model to learn how to keep the correct readings in the lower order lattices. In practice, we observe a high number of lower updates during the first training epoch and almost exclusively higher order updates during later epochs. We evaluate our CRF tagger on six languages with different morphological properties. We find that for languages with a high word form ambiguity such as German, the pruning results in a moderate drop in tagging accuracy while for languages with less ambiguity such as Spanish and Hungarian the loss due to pruning is negligible. However, our pruning strategy allows us to train higher order models (order > 1), which give substantial improvements for all languages and also outperform unpruned first-order models. That is, the model might lose some of the correct readings during pruning, but is also able to solve more of the harder cases that require more context. We also find our model to substantially and significantly outperform a number of frequently used taggers such as Morfette and SVMTool. Based on our morphological tagger we develop a simple method to increase the performance of a state-of-the-art constituency parser. A constituency tree describes the syntactic properties of a sentence by assigning spans of text to a hierarchical bracket structure. developed a language-independent approach for the automatic annotation of accurate and compact grammars. Their implementation -- known as the Berkeley parser -- gives state-of-the-art results for many languages such as English and German. For some MRLS such as Basque and Korean, however, the parser gives unsatisfactory results because of its simple unknown word model. This model maps unknown words to a small number of signatures (similar to our morphological classes). These signatures do not seem expressive enough for many of the subtle distinctions made during parsing. We propose to replace rare words by the morphological reading generated by our tagger instead. The motivation is twofold. First, our tagger has access to a number of lexical and sublexical features not available during parsing. Second, we expect the morphological readings to contain most of the information required to make the correct parsing decision even though we know that things such as the correct attachment of prepositional phrases might require some notion of lexical semantics. In experiments on the SPMRL 2013 dataset of nine MRLS we find our method to give improvements for all languages except French for which we observe a minor drop in the Parseval score of 0.06. For Hebrew, Hungarian and Basque we find substantial absolute improvements of 5.65, 11.87 and 15.16, respectively. We also performed an extensive evaluation on the utility of word representations for morphological tagging. Our goal was to reduce the drop in performance that is caused when a model trained on a specific domain is applied to some other domain. This problem is usually addressed by domain adaption (DA). DA adapts a model towards a specific domain using a small amount of labeled or a huge amount of unlabeled data from that domain. However, this procedure requires us to train a model for every target domain. Instead we are trying to build a robust system that is trained on domain-specific labeled and domain-independent or general unlabeled data. We believe word representations to be key in the development of such models because they allow us to leverage unlabeled data efficiently. We compare data-driven representations to manually created morphological analyzers. We understand data-driven representations as models that cluster word forms or map them to a vectorial representation. Examples heavily used in the literature include Brown clusters, Singular Value Decompositions of count vectors and neural-network-based embeddings. We create a test suite of six languages consisting of in-domain and out-of-domain test sets. To this end we converted annotations for Spanish and Czech and annotated the German part of the Smultron treebank with a morphological layer. In our experiments on these data sets we find Brown clusters to outperform the other data-driven representations. Regarding the comparison with morphological analyzers, we find Brown clusters to give slightly better performance in part-of-speech tagging, but to be substantially outperformed in morphological tagging.

This week we have interviews with Devildriver & 36 Crazy Fists, plus album in reivew Underoath - 0 Disambiguation. as well as plenty of great tunes and the usual discussion and news from the metal world. please take 2 mins of your time to rate and review us thankyou. contact us - info@machograndepodcast.co.uk Twitter - @machogranderock 'This podcast is intended for promotional purposes only' Macho Grande Podcast' does not claim to own copyright etc, all copyright is respected to the artists and labels.. My Podcast Alley feed! {pca-51046b2606b7e97bbc5d7f8c80b9f428}

"Blind Tiger" by Pram from The Moving Frontier; "Pitch and Foil" by Glory Fckn Sun from Vision Scorched; "Saturn 5" by The Oscillation from Out of Phase; "Justamachine" by Alias from Resurgam; "Coalpit Ruled by a Deified Mouse" by Archipelago from Images of Popular Deities; "Return" by Asbestoscape from the self titled CD; "Crippled Croon" by Crystal Stilts from their self titled CD; "Disambiguation" by Nadja from Desire in Uneasiness; "Spoink-Groink" by Fricara Pacchu from Kleinstein and Company; "June 15" by Nurse With Wound from Shipwreck Radio Disc 1

"Blind Tiger" by Pram from The Moving Frontier; "Pitch and Foil" by Glory Fckn Sun from Vision Scorched; "Saturn 5" by The Oscillation from Out of Phase; "Justamachine" by Alias from Resurgam; "Coalpit Ruled by a Deified Mouse" by Archipelago from Images of Popular Deities; "Return" by Asbestoscape from the self titled CD; "Crippled Croon" by Crystal Stilts from their self titled CD; "Disambiguation" by Nadja from Desire in Uneasiness; "Spoink-Groink" by Fricara Pacchu from Kleinstein and Company; "June 15" by Nurse With Wound from Shipwreck Radio Disc 1