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 ordered in a partially ordered set and represented as nodes of a directed acyclic graph (e.g., a taxonomy), would be the shortest-path linking the two concept nodes. Based on text analyses, semantic relatedness between units of language (e.g., words, sentences) can also be estimated using statistical means such as a vector space model to correlate words and textual contexts from a suitable text corpus. The evaluation of the proposed semantic similarity / relatedness measures are evaluated through two main ways. The former is based on the use of datasets designed by experts and composed of word pairs with semantic similarity / relatedness degree estimation. The second way is based on the integration of the measures inside specific applications such as information retrieval, recommender systems, natural language processing, etc. (Wikipedia).
This video introduces similarity and explains how to determine if two figures are similar or not. http://mathispower4u.com
From playlist Number Sense - Decimals, Percents, and Ratios
Similarity And Congruence: Similar Triangle in Triangle (Find Smaller) (Grade 5) - Maths Revision
Topic: Similarity And Congruence: Similar Triangle in Triangle (Find Smaller) Do this paper online for free: https://www.onmaths.com/similarity-and-congruence/ Grade: 5 This question appears on calculator higher and foundation GCSE papers. Practise and revise with OnMaths. Go to onmaths.c
From playlist Similarity And Congruence
Similarity And Congruence: Similar Triangle in Triangle (Find Larger) (Grade 5) - Maths Revision
Topic: Similarity And Congruence: Similar Triangle in Triangle (Find Larger) Do this paper online for free: https://www.onmaths.com/similarity-and-congruence/ Grade: 5 This question appears on calculator higher and foundation GCSE papers. Practise and revise with OnMaths. Go to onmaths.co
From playlist Similarity And Congruence
Similar Triangles Using Side-Side-Side and Side-Angle-Side
This video explains how to determine if two triangles are similar using SSS and SAS. Complete Video List: http://www.mathispower4u.yolasite.com
From playlist Similarity
What is the similarity of triangles for SSS
👉 Learn how to solve with similar triangles. Two triangles are said to be similar if the corresponding angles are congruent (equal). Note that two triangles are similar does not imply that the length of the sides are equal but the sides are proportional. Knowledge of the length of the side
From playlist Similar Triangles
👉 Learn how to solve with similar triangles. Two triangles are said to be similar if the corresponding angles are congruent (equal). Note that two triangles are similar does not imply that the length of the sides are equal but the sides are proportional. Knowledge of the length of the side
From playlist Similar Triangles
Similarity And Congruence: Simple Similar Triangle in Triangle (Grade 5) - GCSE Maths Revision
Topic: Similarity And Congruence: Simple Similar Triangle in Triangle Do this paper online for free: https://www.onmaths.com/similarity-and-congruence/ Grade: 5 This question appears on calculator higher and foundation GCSE papers. Practise and revise with OnMaths. Go to onmaths.com for m
From playlist Similarity And Congruence
Labeling corresponding parts and proportions of sides of similar figures
Learn how to solve with similar polygons. Two polygons are said to be similar if the corresponding angles are congruent (equal). When two polygons are similar the corresponding sides are proportional. Knowledge of the length of the sides or the proportion of the side lengths of one of the
From playlist Similar Polygons
nformation Service Engineering 2021 Prof. Dr. Harald Sack Karlsruhe Institute of Technology Summer semester 2021 Lecture 14: ISE Applications - 2 5.6 Semantic Search - Information Retrieval Dilemma - Semantic Technology Enhanced IR - Semantic Search - Entity-Based Search - Question Answe
From playlist ISE 2021 - Lecture 14, 21.07.2021
Simplified Machine Learning Workflows with Anton Antonov, Session #6: Semantic Analysis (Part 1)
Anton Antonov, a senior mathematical programmer with a PhD in applied mathematics, live-demos key Wolfram Language features that are very useful in machine learning. In this session, he discusses the Latent Semantic Analysis Workflows. Notebook materials are available at: https://wolfr.am
From playlist Simplified Machine Learning Workflows with Anton Antonov
Detecting semantic shift in large corpora by exploiting temporal random indexing
During the last decade, the surge in available data spanning different epochs has inspired a new analysis of cultural, social, and linguistic phenomena from a temporal perspective. In this talk, I will describe Temporal Random Indexing (TRI) a method that enables the analysis of the time e
From playlist Turing Seminars
SBERT: Semantic Textual Similarity, Clustering, Paraphrase mining, Asymmetric search (SBERT 16)
Run code SBERT to understand (& choose pre-trained models for): A) Semantic Textual Similarity B) Clustering C) Paraphrase mining D) Question-Answer Retrieval E) Symmetric vs. Asymmetric Semantic Search F) Retrieve & Re-Rank For beginners: What is the difference between all those metho
From playlist Create insights into complex topics with AI
Learn Sentence Transformers #SBERT: Update 2022 - new models, semantic search, AI #colab (SBERT 23)
Update on latest Sentence Transformers (SBERT) pretrained models for semantic search. Symmetric & asymmetric semantic search, Pytorch on Colab. Depending on a semantic search of a 768 dimensional sentence embedding in a topological space four pretrained SBERT models are recommended and th
From playlist SBERT: Python Code Sentence Transformers: a Bi-Encoder /Transformer model #sbert
Computational Semantics Evaluation: The Origins of Senseval and Evolution of SemEval
About the event: Senseval and SemEval datasets have come to be the de facto gold standards for much of the work in computational semantics. The events that spawned these datasets have enabled comparison of systems, fostered a large community of researchers and spawned interest in a wide v
From playlist Turing Seminars
Simplified Machine Learning Workflows with Anton Antonov, Session #8: Semantic Analysis (Part 3)
Anton Antonov, a senior mathematical programmer with a PhD in applied mathematics, live-demos key Wolfram Language features that are very useful in machine learning. This session will be the part 3 where he discusses the Latent Semantic Analysis Workflows. Notebook materials are available
From playlist Simplified Machine Learning Workflows with Anton Antonov
SBERT: Apply Asymmetric Semantic Search w/ Sentence Transformers #sbert (SBERT 10)
JupyterLab w/ Python and HuggingFace pre-trained Transformer models . Find semantic close-by sentences with SentenceTransformers. Design your own AI. Watch real time coding. #sbert #nlproc #datascience #nlptechniques #clustering #semantic #bert #3danimation #3dvisualization #top
From playlist SBERT: Python Code Sentence Transformers: a Bi-Encoder /Transformer model #sbert
You’ve heard about similar triangles, but do you know what technically makes two triangles similar? Informally, we can say that two triangles are similar if their associated angles are congruent. In other words, their angle measures have to be the same. However, the triangles don’t necess
From playlist Popular Questions