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Word Embedding
In natural language processing (NLP), word embedding is a term used for the representation of words for text analysis, typically in the form of a real-valued vector that encodes the meaning of the word such that the words that are closer in the vector space are expected to be similar in meaning. Word embeddings can be obtained using a set of language modeling and feature learning techniques where words or phrases from the vocabulary are mapped to vectors of real numbers. Methods to generate this mapping include neural networks, dimensionality reduction on the word co-occurrence matrix, probabilistic models, explainable knowledge base method, and explicit representation in terms of the context in which words appear. Word and phrase embeddings, when used as the underlying input representation, have been shown to boost the performance in NLP tasks such as syntactic parsing and sentiment analysis. Development and history of the approach In Distributional semantics, a quantitative m ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Natural Language Processing
Natural language processing (NLP) is an interdisciplinary subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation. History Natural language processing has its roots in the 1950s. Already in 1950, Alan Turing published an article titled "Computing Machinery and Intelligence" which proposed what is now called the Turing test as a criterion of intelligence, t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Self-supervised Learning
Self-supervised learning (SSL) refers to a machine learning paradigm, and corresponding methods, for processing unlabelled data to obtain useful representations that can help with downstream learning tasks. The most salient thing about SSL methods is that they do not need human-annotated labels, which means they are designed to take in datasets consisting entirely of unlabelled data samples. Then the typical SSL pipeline consists of learning supervisory signals (labels generated automatically) in a first stage, which are then used for some supervised learning task in the second and later stages. For this reason, SSL can be described as an intermediate form of unsupervised and supervised learning. The typical SSL method is based on an artificial neural network or other model such as a decision list. The model learns in two steps. First, the task is solved based on an auxiliary or pretext classification task using pseudo-labels which help to initialize the model parameters. Second, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Open Mind Common Sense
Open Mind Common Sense (OMCS) is an artificial intelligence project based at the Massachusetts Institute of Technology (MIT) Media Lab whose goal is to build and utilize a large commonsense knowledge base from the contributions of many thousands of people across the Web. It has been active from 1999 to 2016. Since its founding, it has accumulated more than a million English facts from over 15,000 contributors in addition to knowledge bases in other languages. Much of OMCS's software is built on three interconnected representations: the natural language corpus that people interact with directly, a semantic network built from this corpus called ConceptNet, and a matrix-based representation of ConceptNet called AnalogySpace that can infer new knowledge using dimensionality reduction. The knowledge collected by Open Mind Common Sense has enabled research projects at MIT and elsewhere. History The project was the brainchild of Marvin Minsky, Push Singh, Catherine Havasi, and other ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
WordNet
WordNet is a lexical database of semantic relations between words in more than 200 languages. WordNet links words into semantic relations including synonyms, hyponyms, and meronyms. The synonyms are grouped into '' synsets'' with short definitions and usage examples. WordNet can thus be seen as a combination and extension of a dictionary and thesaurus. While it is accessible to human users via a web browser, its primary use is in automatic text analysis and artificial intelligence applications. WordNet was first created in the English language and the English WordNet database and software tools have been released under a BSD style license and are freely available for download from that WordNet website. History and team members WordNet was first created in English only in the Cognitive Science Laboratory of Princeton University under the direction of psychology professor George Armitage Miller starting in 1985 and was later directed by Christiane Fellbaum. The project was ini ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Golf Club
A golf club is a club used to hit a golf ball in a game of golf. Each club is composed of a shaft with a grip and a club head. Wood (golf), Woods are mainly used for long-distance fairway or tee shots; iron (golf), irons, the most versatile class, are used for a variety of shots; Hybrid (golf), hybrids that combine design elements of woods and irons are becoming increasingly popular; putter (golf), putters are used mainly on the green to roll the ball into the hole. A set of clubs is limited by the rules of golf to a maximum of 14 golf clubs, and while there are traditional combinations sold at retail as matched sets, players are free to use any combination of legal clubs. The most significant difference between clubs of the same type is ''loft'', or the angle between the club's face and the vertical plane. It is loft that is the primary determinant of the ascending trajectory of the golf ball, with the tangential angle of the club head's swing arc at impact being a secondary and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Meeting House
A meeting house (meetinghouse, meeting-house) is a building where religious and sometimes public meetings take place. Terminology Nonconformist Protestant denominations distinguish between a * church, which is a body of people who believe in Christ, and; * meeting house or chapel, which is a building where the church meets. In early Methodism, meeting houses were typically called preaching houses (to distinguish it from a church house), which hosted itinerant preachers. Meeting houses in America The colonial meeting house in America was typically the first public building built as new villages sprang up. A meeting-house had a dual purpose as a place of worship and for public discourse, but sometimes only for "...the service of God." As the towns grew and the separation of church and state in the United States matured the buildings which were used as the seat of local government were called a town-house or town-hall. The nonconformist meeting houses generally do not have s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Baseball
Baseball is a bat-and-ball sport played between two teams of nine players each, taking turns batting and fielding. The game occurs over the course of several plays, with each play generally beginning when a player on the fielding team, called the pitcher, throws a ball that a player on the batting team, called the batter, tries to hit with a bat. The objective of the offensive team (batting team) is to hit the ball into the field of play, away from the other team's players, allowing its players to run the bases, having them advance counter-clockwise around four bases to score what are called " runs". The objective of the defensive team (referred to as the fielding team) is to prevent batters from becoming runners, and to prevent runners' advance around the bases. A run is scored when a runner legally advances around the bases in order and touches home plate (the place where the player started as a batter). The principal objective of the batting team is to have a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Club Sandwich
A club sandwich, also called a clubhouse sandwich, is a sandwich consisting of bread (traditionally toasted), sliced cooked poultry, fried bacon, lettuce, tomato, and mayonnaise. Mariani, John (July 1995). "The club sandwich." ''Restaurant Hospitality''. 79 (7):54 It is often cut into quarters or halves and held together by cocktail sticks. Modern versions frequently have two layers which are separated by an additional slice of bread. History The club sandwich may have originated at the Union Club of New York City. The earliest known reference to the sandwich, an article that appeared in ''The Evening World'' on November 18, 1889, is also an early recipe: "Have you tried a Union Club sandwich yet? Two toasted pieces of Graham bread, with a layer of turkey or chicken and ham between them, served warm." Several other early references also credit the chef of the Union Club with creating the sandwich. Another theory is that the club sandwich was invented at the Saratoga Club in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Homonym
In linguistics, homonyms are words which are homographs (words that share the same spelling, regardless of pronunciation), or homophones (equivocal words, that share the same pronunciation, regardless of spelling), or both. Using this definition, the words ''row'' (propel with oars), ''row'' (a linear arrangement) and ''row'' (an argument) are homonyms because they are homographs (though only the first two are homophones): so are the words ''see'' (vision) and ''sea'' (body of water), because they are homophones (though not homographs). A more restrictive and technical definition requires that homonyms be simultaneously homographs ''and'' homophoneshomonym ''Random House Unabridged Dictionary'' at dictionary.com – that is to say they have identical spelling ''and'' pronunciation, but with different meanings. Examples are the pair ''stalk'' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Polysemy
Polysemy ( or ; ) is the capacity for a sign (e.g. a symbol, a morpheme, a word, or a phrase) to have multiple related meanings. For example, a word can have several word senses. Polysemy is distinct from ''monosemy'', where a word has a single meaning. Polysemy is distinct from homonymy—or homophony—which is an accidental similarity between two or more words (such as ''bear'' the animal, and the verb ''bear''); whereas homonymy is a mere linguistic coincidence, polysemy is not. In discerning whether a given set of meanings represent polysemy or homonymy, it is often necessary to look at the history of the word to see whether the two meanings are historically related. Dictionary writers often list polysemes (words or phrases with different, but related, senses) in the same entry (that is, under the same headword) and enter homonyms as separate headwords (usually with a numbering convention such as ''¹bear'' and ''²bear''). Polysemes A polyseme is a word or phrase wit ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Word2vec
Word2vec is a technique for natural language processing (NLP) published in 2013. The word2vec algorithm uses a neural network model to learn word associations from a large corpus of text. Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence. As the name implies, word2vec represents each distinct word with a particular list of numbers called a vector. The vectors are chosen carefully such that they capture the semantic and syntactic qualities of words; as such, a simple mathematical function (cosine similarity) can indicate the level of semantic similarity between the words represented by those vectors. Approach Word2vec is a group of related models that are used to produce word embeddings. These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words. Word2vec takes as its input a large corpus of text and produces a vector space, typically of several hundred dimensions, with e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Tomas Mikolov
Tomas may refer to: People * Tomás (given name), a Spanish, Portuguese, and Gaelic given name * Tomas (given name), a Swedish, Dutch, and Lithuanian given name * Tomáš, a Czech and Slovak given name * Tomas (surname), a French and Croatian surname * Tomás (surname), a Spanish and Portuguese surname * Tomaš (surname), a Croatian surname * ''Tomas.'', taxonomic author abbreviation of Ruggero Tomaselli (1920–1982), Italian botanist Places * Tomaš, Croatia, a village near Bjelovar * Tomaș River, a tributary of the Gârbăul Mare River in Romania * Tomas District, Peru Other uses * Tropical Storm Tomas (other), numerous storms * ''Tomas'' (novel), 2009 novel by James Palumbo * Convento de Santo Tomás (Madrid) See also * Thomas (other) * Tom (other) Tom or TOM may refer to: * Tom (given name), a diminutive of Thomas or Tomás or an independent Aramaic given name (and a list of people with the name) Characters * Tom Anderson, a character in '' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
