- published: 01 Jan 2023
- views: 65
A close-up is tightly framed image of a person or an object.
Close-Up or Close Up may refer to:
CloseUp1: Tomakei Kujchche Bangladesh is a Bangladeshi reality television programme similar to American Idol and the rest of the Idol series.
Closeup1 2006: Finale Closeup1 created a sensation when about 40,000 young hopeful singers nationwide applied to take part in the seven months of grueling competition. The final performance round of the show began with our National Anthem on December 16, our Victory Day, the fitting theme was patriotic songs. Nolok kicked off with a rendition of 'Mago bhabna kano' composed by Hemanta Mukhopadhyay. The performance was soulful, and had the zest the songs calls for. Nolok proved it again that versatility is his strength. Predominantly a folk singer, he can render anything dished out to him and that too with precision.
By winning the first ever 'Bangladeshi Idol', Nolok Babu has got a 'made' career in music - a music contract worth Taka 1,000,000. Other rewards include a brand new car by Brac Bank. Nolok Babu, age 20, started singing in public after his father walked out when he was nine.
Seven Sharp is a half hour long New Zealand current affairs programme produced by Television New Zealand. The programme was created after the discontinuation of Close Up. It is broadcast live from the TVNZ studio it shares with One News in Auckland, at 7 pm (straight after One News) every weekday on TV One. Seven Sharp typically presents 3 stories within a 30-minute timeslot every weeknight, and is designed to be more integrated with social media and real time opinions than its predecessor.
Seven Sharp competed mostly with and consistently drew more viewers than TV3 current affairs show Campbell Live until its cancellation in May 2015. It currently shares its time slot with TV2 drama Shortland Street, TV3 reality show Come Dine with Me New Zealand, Four animated sitcom The Simpsons, and Prime sports program The Crowd Goes Wild.
The show is presented by ex-Breakfast presenter Toni Street and radio presenter Mike Hosking. Fill-in presenters have included Stacey Morrison, Heather du Plessis-Allan, Te Radar, Clarke Gayford, Tamati Coffey, Matt Gibb, Chris Cairns, Brendon Pongia and Rose Matafeo. On one occasion, American actor Rob Schneider appeared as co-host. While Street was on maternity leave in mid-2015, her position was filled by Fair Go presenter Pippa Wetzell Mondays–Thursdays and Nadine Chalmers-Ross on Fridays.
Reggie Valdez (born October 4, 1974), known professionally as Reggie Lee, is a Filipino-American stage, film, and television actor. He played William Kim on the show Prison Break and also appeared as Tai Huang in Pirates of the Caribbean: At World's End, Ross, a police officer in The Dark Knight Rises, and Lance Nguyen in The Fast and the Furious. He is currently playing the role of Sergeant Wu on NBC's Grimm.
Valdez was born in Quezon City, Philippines, to Zenaida Telmo and Jesus Espiritu Valdez. Although fluent in English, he also speaks Tagalog. At the age of five, he moved with his family to the Cleveland, Ohio area, including Parma and Strongsville. While still a student, he performed in shows at the Greenbrier Theatre (now the Cassidy Theatre) in Parma Heights and was an intern at the Cleveland Play House. He graduated from Padua Franciscan High School in Parma.
Although accepted to Harvard, he instead decided to move to Los Angeles to pursue acting. He later changed his last name from Valdez to Lee, stating in a 2001 interview that "they kept calling me in for Hispanic roles, and I'm a far cry from Hispanic"; he took the name Lee from his grandparents.
Credits to: Chessbase India
Never playing XXL chess again lmao @eric-rosen ♟ PLAY CHESS NOW: https://www.chess.com/register?ref_id=70349336 ♟ UPGRADE YOUR CHESS.COM MEMBERSHIP: https://go.chess.com/anna (Affiliate links, purchases made through these links may generate revenue for Anna) ⭐️ WATCH ME LIVE: https://twitch.tv/annacramling ⭐️ Wanna Support Me More? Donate Here: https://streamelements.com/annacramling/tip ❤️ SOCIAL MEDIA ➡️ INSTAGRAM: https://instagram.com/annacramling ➡️ TWITTER: https://twitter.com/AnnaCramling ➡️ DISCORD: https://discord.gg/w7EzwqT ➡️ CHESS CLUB: https://chess.com/l/the-cramling-club/?ref_id=70349336 (Affiliate link, purchases made through this link may generate revenue for Anna) #annacramling #chess #shorts
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth. The approach incorporates node embeddings into the NED model, employing the KG structure for the training process. The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners. Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the auto...
Gecko | disambiguation | animals | geckos garage | gecko sound | #Shots CGeckos are small lizards belonging to the infraorder Gekkota, found in warm climates throughout the world. They range from 1.6 to 60 cm (0.64 to 24 inches). Geckos are unique among lizards for their vocalizations, which differ from species to species. Most geckos in the family Gekkonidae use chirping or clicking sounds in their social interactions. Tokay geckos (Gekko gecko) are known for their loud mating calls, and some other species are capable of making hissing noises when alarmed or threatened. They are the most species-rich group of lizards, with about 1,500 different species worldwide.[2] The New Latin gekko and English "gecko" stem from the Indonesian-Malay gēkoq, which is imitative of sounds that some specie...
Welcome to another edition of the VT Podcast which I’ve called Ideas That Matter. In this episode, I talk about Disambiguation. If you want to change the world, you have to see the world for what it is. We humans are pattern-seeking animals. We love stories. Our minds are hard-wired to organize the world using patterns, which saves our conscious minds a lot of mental effort. But it's also become a limitation for us - it's easy to get stuck in patterns that don't serve us well. If you're dispelling myths about yourself, or if you're trying to change your life, start by looking at the small things - the patterns that shape your life on a daily basis. Listen in. Book Vusi for a Keynote: https://vusithembekwayo.com/book-vusi/ Get mentored by Vusi: https://vtclub100.com/ Make sure to sta...
Zhihoa Yuan's presentation from C++Now 2014. Slides are available here: https://github.com/boostcon/cppnow_presentations_2014/blob/master/files/disambiguation.pdf?raw=true --- *--* ---
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores. Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as a...
Boston NLP meetup, August 4, 2022, with speakers Philip Blair on Pattern-Based Few-Shot Entity Disambiguation and Marcelo Bursztein on Use Cases for Do It Yourself NLP. Program moderated by Seth Grimes.
Speaker: Tristan Miller, Technische Universität Darmstadt (Germany) Abstract: Word sense disambiguation (WSD) – the task of determining which meaning a word carries in a particular context – is a core research problem in computational linguistics. Though it has long been recognized that supervised (i.e., machine learning–based) approaches to WSD can yield impressive results, they require an amount of manually annotated training data that is often too expensive or impractical to obtain. This is a particular problem for under-resourced languages and text domains, and is also a hurdle in well-resourced languages when processing the sort of lexical-semantic anomalies employed for deliberate effect in humour and wordplay. In contrast to supervised systems are knowledge-based techniques, whi...
A close-up is tightly framed image of a person or an object.
Close-Up or Close Up may refer to:
VERSE 1:
This might sound a bit crazy.
But I can't help but say it.
I'll tell you what I saw and you tell what you think.
This a.m. after breakfast,
I was crusin' past the sidewalk exit,
Up, the store where you work every mornin'.
And this blonde-haired boy with this trumpit toy,
And his new shoes on,
And your hair was long,
You were flippin it left and right as you were.
He was sayin things you were listenin,
You were talkin back,
You thought I didn't see that,
But, baby everybody's always said I had eyes behind my hat.
CHORUS:
I held you in close up.
I held you in close up.
I didn't wanna get too excited, wasn't invited to the party
So I didn't come in.
VERSE 2:
Ah girl I held you in close up, and you lied.
I know I'm abrasive, but I'm not control creation.
I just demand what I need and I trash what's left.
We're tired that's alright.
We learn to believe in cold nights,
And many we seen in this outfit.
Cloudy skies with you, rainy eyes with you,
And this other jake, he's such a flake,
And he slimed me with every intention.
What a tragedy, what a sight to see,
Now I'm throwin dirt, because that really hurt,
And no,nnnnnn,nothin's gonna make me believe we could be what we were.
CHORUS
Ohhh, I held you in close up
And you lied to my face.
Ah baby, you been a bad, bad, girl.
I held you in close up (X7)
And thhissss issss whaaaa, ohhh, ohhhhh, it's what I get.