Word2vec model analysis for semantic similarities in english words
This paper examines the calculation of the similarity between words in English using word
representation techniques. Word2Vec is a model used in this paper to represent words into …
representation techniques. Word2Vec is a model used in this paper to represent words into …
[HTML][HTML] When do languages use the same word for different meanings? The Goldilocks principle in colexification
Lexical ambiguity is pervasive in language, and often systematic. For instance, the Spanish
word dedo can refer to a toe or a finger, that is, these two meanings colexify in Spanish; and …
word dedo can refer to a toe or a finger, that is, these two meanings colexify in Spanish; and …
Comparative analysis of word embeddings for capturing word similarities
Distributed language representation has become the most widely used technique for
language representation in various natural language processing tasks. Most of the natural …
language representation in various natural language processing tasks. Most of the natural …
Integrating semantic similarity with Dirichlet multinomial mixture model for enhanced web service clustering
With accelerated advancement of web 2.0, developers generally describe the functionality of
services in short natural text. Keyword-based searching techniques are not an efficient way …
services in short natural text. Keyword-based searching techniques are not an efficient way …
Semantic similarity estimation using vector symbolic architectures
JI Quiroz-Mercado, R Barrón-Fernández… - IEEE …, 2020 - ieeexplore.ieee.org
For many natural language processing applications, estimating similarity and relatedness
between words are key tasks that serve as the basis for classification and generalization …
between words are key tasks that serve as the basis for classification and generalization …
The Importance of Context in the Evaluation of Word Embeddings: The Effects of Antonymy and Polysemy
Word embeddings are widely used for diverse applications in natural language processing.
Despite extensive research, it is unclear when they succeed or fail to capture human …
Despite extensive research, it is unclear when they succeed or fail to capture human …
The ability of word embeddings to capture word similarities
M Toshevska - … Journal on Natural Language Computing (IJNLC) …, 2020 - papers.ssrn.com
Distributed language representation has become the most widely used technique for
language representation in various natural language processing tasks. Most of the natural …
language representation in various natural language processing tasks. Most of the natural …
[PDF][PDF] External Factors in Sustainability of Open Source Software.
M Valiev - 2021 - reports-archive.adm.cs.cmu.edu
Modern software development is heavily reliant on Open Source. It saves time and money,
but, as any other non-commercial software, it comes on as-is basis. If not properly …
but, as any other non-commercial software, it comes on as-is basis. If not properly …
Scale-dependent relationships in natural language
Abstract Language, like other natural sequences, exhibits statistical dependencies at a wide
range of scales as discussed by Lin and Tegmark (2017). However, many statistical learning …
range of scales as discussed by Lin and Tegmark (2017). However, many statistical learning …
[PDF][PDF] Exploring the dynamics underlying taxonomic and thematic representations
M Zhai - 2022 - repository.rice.edu
Semantic knowledge about concepts has been argued to be organized in two different ways:
based on shared features (taxonomic) or based on co-occurrence in common scenes …
based on shared features (taxonomic) or based on co-occurrence in common scenes …