Results 71 to 80 of about 3,847 (306)
Hybrid Feature and Optimized Deep Learning Model Fusion for Detecting Hateful Arabic Content
IEEE AccessDetecting hate speech in Arabic social media content is critical for ensuring safe, inclusive, and respectful online communication. However, this task remains challenging due to Arabic’s morphological richness, dialectal variations such as ...
Karim Gasmi +7 more
doaj +1 more source
LINGUOCOGNITIVE FOUNDATIONS of teaching negation in English: lexical aspect
Вестник Тамбовского университета. Серия: Гуманитарные науки, 2018 The necessity for search of new possibilities for optimization of foreign languages teaching is grounded in a number of peculiarities of the educational process, its communicative alignment and cultural base. The integration of cognitive linguistics into
S. V. Motov
doaj +1 more source
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model [PDF]
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015 We introduce C-PHRASE, a distributional semantic model that learns word representations by optimizing context prediction for phrases at all levels in a syntactic tree, from single words to full sentences. C-PHRASE outperforms the state-of-theart C-BOW model on a variety of lexical tasks.
Pham, The Nghia +3 more
openaire +3 more sources
A Critical Analysis of Microsoft's Rhetoric and Reality of Sustainability Engagement
Business Strategy and the Environment, EarlyView.ABSTRACT This study critically examines Microsoft's environmental, social and governance (ESG) rhetoric and operational reality, to offer insights that extend beyond conventional greenwashing or bluewashing. Drawing on over 20 years of Microsoft's sustainability reports (2003–2024), third‐party ESG evaluations and media investigations, it employs ...
Omaima A. G. Hassan, Iqbal Khadaroo
wiley +1 more source
The Lexicon Graph Model : a generic model for multimodal lexicon development [PDF]
, 2006 Trippel T. The Lexicon Graph Model : a generic model for multimodal lexicon development. Bielefeld (Germany): Bielefeld University; 2006.Das Lexicon Graph Model stellt ein Modell für Lexika dar, die korpusbasiert sein können und multimodale Informationen
Trippel, Thorsten
core +1 more source
Lexicon Optimization for Dutch Speech Recognition in Spoken Document Retrieval [PDF]
, 2001 In this paper, ongoing work concerning the language modelling and lexicon optimization of a Dutch speech recognition system for Spoken Document Retrieval is described: the collection and normalization of a training data set and the optimization of our ...
Ordelman, Roeland J.F. +3 more
core +2 more sources
Machine Learning: Science and Technology, 2023 Present-day, interdisciplinary research is increasing in social network-related applications, and it is a daily routine activity in every human life. So, sentiment analysis (SA) based on opinion mining is the most sophisticated concept in the well-known ...
Lakshmi Revathi Krosuri +1 more
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Business Strategy and the Environment, EarlyView.ABSTRACT This study provides an exploratory, descriptive analysis of how knowledge management (KM) research engages with responsible sustainability from a strategic perspective. Using bibliometric science mapping, we analyse 97 Web of Science publications to identify dominant thematic patterns, relative emphases and conceptual blind spots shaping the ...
Jaime J. González‐Masip
wiley +1 more source
A Praxical Solution of the Symbol Grounding Problem [PDF]
, 2007 This article is the second step in our research into the Symbol Grounding Problem (SGP). In a previous work, we defined the main condition that must be satisfied by any strategy in order to provide a valid solution to the SGP, namely the zero semantic ...
Taddeo, Mariarosaria, Floridi, Luciano
core
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data [PDF]
, 2009 Tran DT, Wang H, Rudolph S, Cimiano P. Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data. In: Ioannidis YE, Lee DL, Ng RT, eds.
Wang, Haofen +10 more
core +2 more sources