In natural language processing, semantic compression is a process of compacting a lexicon used to build
a textual document (or a set of documents) by reducing language heterogeneity, while maintaining text semantics.
As a result, the same ideas can be represented using a smaller set of words.
In most applications, semantic compression is a lossy compression. Increased prolixity does not compensate for the lexical compression and an original document cannot be reconstructed in a reverse process.
and 29 Related for: Semantic compression information
In natural language processing, semanticcompression is a process of compacting a lexicon used to build a textual document (or a set of documents) by reducing...
A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form...
Hypernymy and hyponymy are the semantic relations between a generic term (hypernym) and a specific instance of it (hyponym). The hypernym is also called...
discovered that, to reduce linguistic diversity, they can use methods of semanticcompression to limit and simplify a set of words used in given texts. Text simplification...
In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and...
source NCD (normalized compression distance) ESA (explicit semantic analysis) based on Wikipedia and the ODP SSA (salient semantic analysis) which indexes...
with semantic networks, are used to identify the least common, specialized terms to be replaced by their hypernyms in a process of semanticcompression. Those...
Normalized compression distance (NCD) is a way of measuring the similarity between two objects, be it two documents, two letters, two emails, two music...
surrounding that vocabulary, which create a vector. Lexical semantics Semanticcompression SemEval Word sense D. McCarthy, R. Navigli. The English Lexical Substitution...
individual object. Panoptic segmentation combines both semantic and instance segmentation. Like semantic segmentation, panoptic segmentation is an approach...
SqueezeNet paper, the authors demonstrated that a model compression technique called Deep Compression can be applied to SqueezeNet to further reduce the size...
are nearby as measured by cosine similarity. This indicates the level of semantic similarity between the words, so for example the vectors for walk and ran...
dimensionality reduction, which can also be viewed as a form of data compression. Latent spaces are usually fit via machine learning, and they can then...
major transportation, telcos, utilities and energy organizations and RDF semantic graphs used in social networks and social interactions and in linking disparate...
problems) to semantic parsing, natural language understanding, example-based translation, language acquisition, grammar-based compression, and anomaly...
in video compression, due to the impractically high memory and bandwidth requirements of uncompressed video. The most important compression algorithm...
psychotherapy. The words care, therapy, treatment, and intervention overlap in a semantic field, and thus they can be synonymous depending on context. Moving rightward...
types of retrieval or text mining. Document-term matrix Used in latent semantic analysis, stores the occurrences of words in documents in a two-dimensional...
and compression. A system that predicts the posterior probabilities of a sequence given its entire history can be used for optimal data compression (by...
text, is digital text which has styling information beyond the minimum of semantic elements: colours, styles (boldface, italic), sizes, and special features...
work on recovery of non-rigid structure from motion and fractal image compression, and has been awarded more than a dozen patents. Horowitz joined Yahoo...
other—quite regardless of any associated meaning or other psychological or semantic aspect the symbols might represent. This amount of information he quantified...
retrieval Coding theory – see maximum likelihood decoding Semantic Search Data compression – see MPEG-2 standard Robotic sensing Recommendation systems...
lossless data compression archivers that have gone through collaborative development to top rankings on several benchmarks measuring compression ratio (although...
compressed up to an optimal size, which is the theoretical limit of compression. The information available through a collection of data may be derived...
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