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...LSTMs to produce two sequences of hidden vectors, then apply another pair of forward and backward LSTMs, and so on.]] ...g.png|thumb|How a token is transformed successively over increasing layers of ELMo. At the start, the token is converted to a vector by a linear layer, g ...

...n an expressive output space while maintaining modularity and tractability of training and inference. ...te=March 2013}} within the natural language processing ([[Natural Language Processing|NLP]]) community. ...

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]]. ...

{{Short description|A large language model developed by Google AI}} | programming language = ...

...words into clusters that are assumed to be semantically related by virtue of their having been embedded in similar contexts. ...|year=2018 |isbn=978-3-319-73705-8 |location=Cham, Switzerland |pages=66 |language=en}}</ref> ...

{{Short description|Mathematical framework for natural language processing}} ...rams]] are used to visualise [[information flow]] and reason about natural language [[semantics]]. ...

{{Short description|Measure of brand importance}} ...ause of the Porter's stemming algorithm. It can be tested here http://text-processing.com/demo/stem/ and here https://9ol.es/porter_js_demo.html. ...

...s://doi.org/10.3758/s13428-021-01711-5 |journal=Behavior Research Methods |language=en |volume=54 |issue=5 |pages=2221–2251 |doi=10.3758/s13428-021-01711-5 |is ...biguation.]" Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004. 2004. ...

...y]] ([[Bachelor of Arts|BA]], [[Master of Arts|MA]]), California Institute of Technology (PhD) ...title = Neural routing circuits for forming invariant representations of visual objects ...

...ch relations is [[spatial relation]]s (above, below, left, right, in front of, behind).<ref name=":0">{{Cite arXiv|title=A simple neural network module f RNs can infer relations, they are data efficient, and they operate on a set of objects without regard to the objects' order.<ref name=":0" /> ...

...cells more specific and LSTM cells more sensitive in motive classification of text? |last1=Gruber |first1=N.|last2=Jockisch |first2=A. |year=2020 |journa ..."Chung_18_2016c">{{cite arXiv |eprint=1412.3555|title=Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling|last1=Chung |first1=Ju ...

{{for|the image processing technique|Laplacian smoothing}} ...ultinomial distribution]] with <math>N</math> trials, a "smoothed" version of the counts gives the [[estimator]] ...

{{short description|Series of language models developed by Google AI}} | programming language = ...

'''Deep image prior''' is a type of [[convolutional neural network]] used to enhance a given image with no prio ...tion]], and [[inpainting]]. Image statistics are captured by the structure of a convolutional image generator rather than by any previously learned capab ...

...le-to-learn-like-humans-d9160f40cdd1|access-date=2021-06-09|website=Medium|language=en}}</ref> ...ast4=Liu|first4=Jianguo|date=April 2018|title=Fast and robust segmentation of white blood cell images by self-supervised learning|url=http://dx.doi.org/1 ...

...of atomic functional units. Node graphs are a type of [[visual programming language]]. ...own outputs. The ability to link nodes together in this way allows complex tasks or problems to be broken down into atomic nodal units that are easier to un ...

{{Short description|Automatic analysis of syntactic structure of natural language}} ...has been a subject of research since the mid-20th century with the advent of computers. ...

{{Short description|Language models designed for reasoning tasks}} ...nt learning]] (RL) initialized with [[Pretrained language model|pretrained language models]]. ...

{{Short description|Series of large language models developed by Google AI}} | programming language = ...

...tion|Purely statistical model of language}} {{DISPLAYTITLE:Word ''n''-gram language model}} ...l.<ref name=jm/> Special tokens are introduced to denote the start and end of a sentence <math>\langle s\rangle</math> and <math>\langle /s\rangle</math> ...