Results 11 to 20 of about 9,169,557 (320)

Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2022
Cosine similarity of contextual embeddings is used in many NLP tasks (e.g., QA, IR, MT) and metrics (e.g., BERTScore). Here, we uncover systematic ways in which word similarities estimated by cosine over BERT embeddings are understated and trace this ...
Kaitlyn Zhou   +3 more
semanticscholar   +1 more source

Tangent and Cotangent Similarity Measures of Pentapartitioned Neutrosophic Pythagorean Set In Virtual Education During Covid Pandemic [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
In this paper, a new tangent and cotangent similarity measures between two Pentapartitioned Neutrosophic Pythagorean [PNP] sets with truth membership, falsity membership, ignorance and contradiction membership as dependent Neutrosophic component is ...
R. Radha   +3 more
doaj   +1 more source

A Novel Outlier-Robust Kalman Filtering Framework Based on Statistical Similarity Measure

open access: yesIEEE Transactions on Automatic Control, 2021
In this article, a statistical similarity measure is introduced to quantify the similarity between two random vectors. The measure is, then, employed to develop a novel outlier-robust Kalman filtering framework. The approximation errors and the stability
Yulong Huang   +4 more
semanticscholar   +1 more source

A Benchmark Similarity Measures for Fermatean Fuzzy Sets

open access: yesBulletin of the Section of Logic, 2022
In this paper, we utilized triangular conorms (S-norm). The essence of using S-norm is that the similarity order does not change using different norms.
Faiz Muhammad Khan   +2 more
doaj   +1 more source

Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++)

open access: yesSensors, 2022
Super-pixels represent perceptually similar visual feature vectors of the image. Super-pixels are the meaningful group of pixels of the image, bunched together based on the color and proximity of singular pixel.
Manzoor Ahmed Hashmani   +5 more
doaj   +1 more source

Multi-Attribute Decision Making Based on Several Trigonometric Hamming Similarity Measures under Interval Rough Neutrosophic Environment [PDF]

open access: yesNeutrosophic Sets and Systems, 2018
In this paper, the sine, cosine and cotangent similarity measures of interval rough neutrosophic sets is proposed. Some properties of the proposed measures are discussed.
Surapati Pramanik   +3 more
doaj   +1 more source

Relations among similarity measure, subsethood measure and fuzzy entropy [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2013
In this paper we study the relations among similarity measure, subsethood measure and fuzzy entropy and present several propositions that similarity measure, subsethood measure and fuzzy entropy can be transformed by each other based on their axiomatic ...
Yingfang Li, Keyun Qin, Xingxing He
doaj   +1 more source

Some similarity measures of rough interval Pythagorean fuzzy sets [PDF]

open access: yesJournal of Fuzzy Extension and Applications, 2020
In this paper, we expose cosine, jaccard and dice similarity measures and rough interval Pythagorean mean operator. Some of the important properties of the defined similarity measures have been established.
V. S. Subha, P. Dhanalakshmi
doaj   +1 more source

Tangent Similarity Measure Based MADM-Strategy under SVPNS-Environment [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
The main focus of this article is to procure a new similarity measure namely tangent similarity measure for single valued pentapartitioned neutrosophic sets (SVPNS).
Suman Das   +2 more
doaj   +1 more source

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2019
The most important obstacles facing multi-document summarization include excessive redundancy in source descriptions and the looming shortage of training data.
Sangwoo Cho   +3 more
semanticscholar   +1 more source

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