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Distributional Hypothesis
Distributional semantics is a research area that develops and studies theories and methods for quantifying and categorizing semantic similarities between linguistic items based on their distributional properties in large samples of language data. The basic idea of distributional semantics can be summed up in the so-called distributional hypothesis: ''linguistic items with similar distributions have similar meanings.'' Distributional hypothesis The distributional hypothesis in linguistics is derived from the semantic theory of language usage, i.e. words that are used and occur in the same contexts tend to purport similar meanings. The underlying idea that "a word is characterized by the company it keeps" was popularized by Firth in the 1950s. The distributional hypothesis is the basis for statistical semantics. Although the Distributional Hypothesis originated in linguistics, it is now receiving attention in cognitive science especially regarding the context of word use. In rec ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Distributionalism
Distributionalism was a general theory of language and a discovery procedure for establishing elements and structures of language based on observed usage. It can be seen as an elaboration of structuralism but takes a more computational approach. Originally mostly applied to understanding phonological processes and phonotactics, distributional methods were also applied to work on lexical semantics and provide the basis for the distributional hypothesis for meaning. Current computational approaches to learn the semantics of words from text in the form of word embeddings using machine learning are based on distributional theory. Origins Distributionalism can be said to have originated in the work of structuralist linguist Leonard Bloomfield and was more clearly formalised by Zellig S. Harris. This theory emerged in the United States in the 1950s, as a variant of structuralism, which was the mainstream linguistic theory at the time, and dominated American linguistics for some time. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Similarity Measure
In statistics and related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity between two objects. Although no single definition of a similarity exists, usually such measures are in some sense the inverse of distance metrics: they take on large values for similar objects and either zero or a negative value for very dissimilar objects. Though, in more broad terms, a similarity function may also satisfy metric axioms. Cosine similarity is a commonly used similarity measure for real-valued vectors, used in (among other fields) information retrieval to score the similarity of documents in the vector space model. In machine learning, common kernel functions such as the RBF kernel can be viewed as similarity functions. Use in clustering In spectral clustering, a similarity, or affinity, measure is used to transform data to overcome difficulties related to lack of convexity in the shape of the data distr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Word Sense Disambiguation
Word-sense disambiguation (WSD) is the process of identifying which sense of a word is meant in a sentence or other segment of context. In human language processing and cognition, it is usually subconscious/automatic but can often come to conscious attention when ambiguity impairs clarity of communication, given the pervasive polysemy in natural language. In computational linguistics, it is an open problem that affects other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, and inference. Given that natural language requires reflection of neurological reality, as shaped by the abilities provided by the brain's neural networks, computer science has had a long-term challenge in developing the ability in computers to do natural language processing and machine learning. Many techniques have been researched, including dictionary-based methods that use the knowledge encoded in lexical resources, supervised machine le ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Thesauri
A thesaurus (plural ''thesauri'' or ''thesauruses'') or synonym dictionary is a reference work for finding synonyms and sometimes antonyms of words. They are often used by writers to help find the best word to express an idea: Synonym dictionaries have a long history. The word 'thesaurus' was used in 1852 by Peter Mark Roget for his ''Roget's Thesaurus''. While some thesauri, such as ''Roget's Thesaurus'', group words in a hierarchical hypernymic taxonomy of concepts, others are organized alphabetically or in some other way. Most thesauri do not include definitions, but many dictionaries include listings of synonyms. Some thesauri and dictionary synonym notes characterize the distinctions between similar words, with notes on their "connotations and varying shades of meaning".''American Heritage Dictionary of the English Language'', 5th edition, Houghton Mifflin Harcourt 2011, , p. xxvii Some synonym dictionaries are primarily concerned with differentiating synonyms by meaning ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Keyword Clustering
Keyword clustering is a practice search engine optimization (SEO) professionals use to segment target search terms into groups (clusters) relevant to each page of the website. After keyword research, search engine professionals cluster keywords into small groups which they spread across pages of the website to achieve higher rankings in the search engine results (SERP). Keyword clustering is a fully automated process performed by keyword clustering tools. The term and the first principles were first introduced in 2015 by the Russian search engine optimization expert Alexey Chekushin. The SERP-based keyword clustering tool Just-Magic was released in the same year in Russia. Method Keyword clustering is based on the first ten search results (TOP-10) regardless of the search engine or custom settings. The TOP 10 search results are the first ten listings that a search engine shows for a certain search query. In most cases, the TOP-10 matches the first page of the search results. T ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Semantic Similarity
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning or semantic content as opposed to lexicographical similarity. These are mathematical tools used to estimate the strength of the semantic relationship between units of language, concepts or instances, through a numerical description obtained according to the comparison of information supporting their meaning or describing their nature. The term semantic similarity is often confused with semantic relatedness. Semantic relatedness includes any relation between two terms, while semantic similarity only includes "is a" relations. For example, "car" is similar to "bus", but is also related to "road" and "driving". Computationally, semantic similarity can be estimated by defining a topological similarity, by using ontologies to define the distance between terms/concepts. For example, a naive metric for the comparison of concepts or ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
SemEval
SemEval (Semantic Evaluation) is an ongoing series of evaluations of computational semantic analysis systems; it evolved from the Senseval word sense evaluation series. The evaluations are intended to explore the nature of meaning in language. While meaning is intuitive to humans, transferring those intuitions to computational analysis has proved elusive. This series of evaluations is providing a mechanism to characterize in more precise terms exactly what is necessary to compute in meaning. As such, the evaluations provide an emergent mechanism to identify the problems and solutions for computations with meaning. These exercises have evolved to articulate more of the dimensions that are involved in our use of language. They began with apparently simple attempts to identify word senses computationally. They have evolved to investigate the interrelationships among the elements in a sentence (e.g., semantic role labeling), relations between sentences (e.g., coreference), and the n ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
University Of Oxford
, mottoeng = The Lord is my light , established = , endowment = £6.1 billion (including colleges) (2019) , budget = £2.145 billion (2019–20) , chancellor = The Lord Patten of Barnes , vice_chancellor = Louise Richardson , students = 24,515 (2019) , undergrad = 11,955 , postgrad = 12,010 , other = 541 (2017) , city = Oxford , country = England , coordinates = , campus_type = University town , athletics_affiliations = Blue (university sport) , logo_size = 250px , website = , logo = University of Oxford.svg , colours = Oxford Blue , faculty = 6,995 (2020) , academic_affiliations = , The University of Oxford is a collegiate research university in Oxf ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Mehrnoosh Sadrzadeh
Mehrnoosh Sadrzadeh is an Iranian British academic who is a professor at University College London. She was awarded a senior research fellowship at the Royal Academy of Engineering in 2022. Early life and education Sadrzadeh is from Iran. She received her undergraduate and masters degrees at Sharif University of Technology. After earning her master's degree Sadrzadeh moved to Canada. She was a doctoral researcher first at the University of Ottawa, where she was awarded an Ontario Graduate Scholarship, a University of Ottawa Excellence Scholarship, and a Canada Female Doctoral Student Award, and then at the Université du Québec à Montréal. Her research considered epistemic logic. Alongside earning her doctorate, Sadrzadeh moved to the University of Oxford as an EPSRC postdoctoral fellow. Research and career In 2011, Sadrzadeh was awarded an Engineering and Physical Sciences Research Council Career Acceleration Fellowship. She was appointed to the faculty at Queen Mary Univ ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bob Coecke
Bob Coecke (born 23 July 1968) is a Belgian theoretical physicist and logician who was professor of Quantum Foundations, Logics and Structures at Oxford University until 2020, when he became Chief Scientist of Cambridge Quantum Computing, and after the merger with Honeywell Quantum Systems, Chief Scientist of Quantinuum. He pioneered categorical quantum mechanics (entry 18M40 in Mathematics Subject Classification 2020), Quantum Picturalism, ZX-calculus, DisCoCat model for natural language, and quantum natural language processing (QNLP). He is a founder of the Quantum Physics and Logic community and conference series, and of the applied category theory community, conference series, and diamond-open-access journal ''Compositionality''. Education and career Coecke obtained his Doctorate in Sciences at the Vrije Universiteit Brussel in 1996, and performed postdoctoral work in the Theoretical Physics Group of Imperial College, London in the Category Theory Group of the Mathe ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Compositional Distributional Semantics
In semantics, mathematical logic and related disciplines, the principle of compositionality is the principle that the meaning of a complex expression is determined by the meanings of its constituent expressions and the rules used to combine them. This principle is also called Frege's principle, because Gottlob Frege is widely credited for the first modern formulation of it. The principle was never explicitly stated by Frege, and it was arguably already assumed by George Boole decades before Frege's work. The principle of compositionality is highly debated in linguistics, and among its most challenging problems there are the issues of contextuality, the non-compositionality of idiomatic expressions, and the non-compositionality of quotations. History Discussion of compositionality started to appear at the beginning of the 19th century, during which it was debated whether what was most fundamental in language was compositionality or contextuality, and compositionality was usual ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Construction Grammar
Construction grammar (often abbreviated CxG) is a family of theories within the field of cognitive linguistics which posit that constructions, or learned pairings of linguistic patterns with meanings, are the fundamental building blocks of human language. Constructions include words (''aardvark'', ''avocado''), morphemes (''anti-'', ''-ing''), fixed expressions and idioms (''by and large'', ''jog X's memory''), and abstract grammatical rules such as the passive voice (''The cat was hit by a car'') or the ditransitive (''Mary gave Alex the ball''). Any linguistic pattern is considered to be a construction as long as some aspect of its form or its meaning cannot be predicted from its component parts, or from other constructions that are recognized to exist. In construction grammar, every utterance is understood to be a combination of multiple different constructions, which together specify its precise meaning and form. Advocates of construction grammar argue that language and cult ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
