Goodness

Goodness may refer to:

See also

Little Red

Little Red were a rock band from Melbourne, Australia consisting of Adrian Beltrame (guitar, keyboard, vocals), Dominic Byrne (guitar, vocals), Tom Hartney (harmonica, keyboard, vocals), Quang Dinh (bass, vocals), and Taka Honda (drums).

Biography

The band was formed in 2005 and were featured on Triple J Unearthed. The band won the 2008 Australia-wide 'Garage to V' competition held by Virgin Mobile to win a slot at all shows of the Australian V Festival in 2008, while the band has also performed at the Falls Festival, Meredith Music Festival, the Big Day Out, the Pyramid Rock Festival and the Laneway Festival.

Little Red's songs "Waiting", "Coca-Cola" and "Witch Doctor" have all received regular play on Australian nationwide radio station Triple J, while "Coca-Cola" was also included on the official soundtrack of Australian TV series Underbelly, and was voted #47 on the 2008 Triple J Hottest 100.

The band independently released in Australia an album entitled Listen to Little Red on 28 June 2008, which debuted at number 29 on the ARIA Charts. The album was licensed for release outside of Australia by the UK independent Lucky Number Music and was released on 16 November 2009 in the UK and early 2010 internationally.

Red Riding

Red Riding (2009) is a three-part television adaptation of English author David Peace's Red Riding Quartet (1999–2002). The quartet comprises the novels Nineteen Seventy-Four (1999), Nineteen Seventy-Seven (2000), Nineteen Eighty (2001) and Nineteen Eighty-Three (2002) and the first, third, and fourth of these books became three feature-length television episodes — Red Riding 1974, Red Riding 1980, and Red Riding 1983. They aired in the UK on Channel 4 beginning on 5 March 2009 and were produced by Revolution Films. The three films were released theatrically in the US in February 2010.

Set against a backdrop of serial murders during 1974–1983, including the Yorkshire Ripper killings, the books and films follow several recurring fictional characters through a bleak and violent world of multi-layered police corruption and organised crime. Although real-life crimes are referenced, the plot is fiction rather than a documentary or factual account of events. Both the books and films mix elements of fact, fiction and conspiracy theory – a confection dubbed "Yorkshire Noir" by some critics – and are notable for a chronologically fractured narrative and for defying neat or trite endings and resolutions. Yorkshire, Britain's largest county, is broken into three administrative areas known as the Ridings — North, East, and West. There is no "Red" Riding, except in the metaphorical sense.

Little Red Riding Hood

"Little Red Riding Hood", or "Little Red Ridinghood", also known as "Little Red Cap" or simply "Red Riding Hood", is a European fairy tale about a young girl and a Big Bad Wolf. The story has been changed considerably in its history and subject to numerous modern adaptations and readings. The story was first published by Charles Perrault.

This story is number 333 in the Aarne-Thompson classification system for folktales.

Tale

The story revolves around a girl called Little Red Riding Hood. In the Grimms' and Perrault's versions of the tale, she is named after the red hooded cape/cloak that she wears. The girl walks through the woods to deliver food to her sickly grandmother (wine and cake depending on the translation). In the Grimms' version, she had the order from her mother to stay strictly on the path.

A Big Bad Wolf wants to eat the girl and the food in the basket. He secretly stalks her behind trees, bushes, shrubs, and patches of little and tall grass. He approaches Little Red Riding Hood and she naïvely tells him where she is going. He suggests that the girl pick some flowers; which she does. In the meantime; he goes to the grandmother's house and gains entry by pretending to be the girl. He swallows the grandmother whole (in some stories, he locks her in the closet) and waits for the girl, disguised as the grandma.

Word-sense disambiguation

In computational linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing and ontology. WSD is identifying which sense of a word (i.e. meaning) is used in a sentence, when the word has multiple meanings. The solution to this problem impacts other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, inference et cetera.

The human brain is quite proficient at word-sense disambiguation. The fact that natural language is formed in a way that requires so much of it is a reflection of that neurologic reality. In other words, human language developed in a way that reflects (and also has helped to shape) the innate ability provided by the brain's neural networks. In computer science and the information technology that it enables, it has been a long-term challenge to develop the ability in computers to do natural language processing and machine learning.

To date, a rich variety of techniques have been researched, from dictionary-based methods that use the knowledge encoded in lexical resources, to supervised machine learning methods in which a classifier is trained for each distinct word on a corpus of manually sense-annotated examples, to completely unsupervised methods that cluster occurrences of words, thereby inducing word senses. Among these, supervised learning approaches have been the most successful algorithms to date.