Results 61 to 70 of about 10,729 (237)
Word2Vec architecture: The figure shows two variants of word2vec architecture—CBOW and Skip gram [26] for a sample.
Dhananjay Kimothi (8575089) +4 more
core +1 more source
A framework of design concept generation framework with operations on extensional conceptual space
In the conceptual design phase, generating novel concepts is a cornerstone for producing innovative products. This paper proposes a framework for design concept generation with an extensional conceptual space (ECS).
Yutaka NOMAGUCHI +3 more
doaj +1 more source
ABSTRACT This study examines how artificial intelligence language models influence corporate environmental, social, and governance greenwashing (GWESG$$ {\mathrm{GW}}_{\mathrm{ESG}} $$) behavior, utilizing panel data from Chinese listed firms spanning 2012–2022.
Brahim Bergougui +2 more
wiley +1 more source
Automatic Classifying of Requirements-Relevant Contents From App Reviews in the Arabic Language
The market for mobile application development continues to thrive with billions of users and millions of apps. Collecting software requirements for mobile apps has to cope with this trend, so as for the software to compete in this crowded scene ...
Abualsoud A. Hanani +2 more
doaj +1 more source
DAWE: A Double Attention-Based Word Embedding Model with Sememe Structure Information
Word embedding is an important reference for natural language processing tasks, which can generate distribution presentations of words based on many text data.
Shengwen Li +5 more
doaj +1 more source
Family Control and Ownership, Corporate Culture, and ESG Performance in Thailand
ABSTRACT Motivated by the growing importance of environmental, social, and governance (ESG) performance in emerging markets, we examine how family control and ownership, together with corporate culture, influence the ESG performance of publicly listed firms in Thailand.
Sirimon Treepongkaruna +2 more
wiley +1 more source
Analysis of the impact of the contextual embeddings usage on the text classification accuracy
Analysis of the impact of the contextual embeddings usage on the text classification ...
Olesia Barkovska +4 more
doaj +1 more source
Abstract Assessing relational values of nature through its cultural and spiritual significance is crucial for effective nature conservation. Folktales offer insights into traditional relationships between people and nature, and text mining is a powerful tool for extracting information from textual datasets.
Naoki Saito +2 more
wiley +1 more source
Модель Skip-Gram технологии word2vec
Технология word2vec с момента своего появления в 2013 году обрела большую популярность среди исследователей в области машинного обучения.
Давыдовский, С. В.
core
Word and Phrase Translation with word2vec
Word and phrase tables are key inputs to machine translations, but costly to produce. New unsupervised learning methods represent words and phrases in a high-dimensional vector space, and these monolingual embeddings have been shown to encode syntactic and semantic relationships between language elements.
openaire +2 more sources

