Results 111 to 120 of about 51,786 (296)

Bridging Academic Research and Business Practices at the Crossroad of Circular Economy and the SDGs

Business Strategy and the Environment, EarlyView.
ABSTRACT The global shift toward sustainability has amplified interest in the Circular Economy, which aims to optimize resource use and minimize waste. In parallel, the Sustainable Development Goals (SDGs) provide a universal framework for addressing social, environmental, and economic challenges.
Corentin Juin, Andrea Nicolodi
wiley   +1 more source

The Bias Dilemma

Feminist Philosophy Quarterly, 2022
Addressing biases in natural-language processing (NLP) systems presents an underappreciated ethical dilemma, which we think underlies recent debates about bias in NLP models.
Oisín Deery, Katherine Bailey
doaj  

Can We Survive without Labelled Data in NLP? Transfer Learning for Open Information Extraction

, 2020
Various tasks in natural language processing (NLP) suffer from lack of labelled training data, which deep neural networks are hungry for. In this paper, we relied upon features learned to generate relation triples from the open information extraction ...
Esposito, M., Spruit, M., Natural Language Processing, Massala, G., Sub Natural Language Processing, Minutolo, A., Sarhan, I., Pota, M.   +7 more
core   +1 more source

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

AI-powered natural language processing in language education: A systematic review

HOW
This systematic review investigates the potential of Natural Language Processing (NLP) based Artificial Intelligence (AI) technologies to enhance literacy development in higher education.
Daniel Murcia, Luis Felipe Jaramillo Calderón   +1 more
doaj   +1 more source

Teanga: a linked data based platform for natural language processing

, 2018
In this paper, we describe Teanga, a linked data based platform for natural language processing (NLP). Teanga enables the use of many NLP services from a single interface, whether the need was to use a single service or multiple services in a pipeline ...
McCrae, John Philip, Ziad, Housam, Buitelaar, Paul   +2 more
core   +1 more source

From Policy to Practice: A Global Review of Circular Economy Strategy Documents in Construction Using NLP

Business Strategy and the Environment, EarlyView.
ABSTRACT This study explores how circular economy (CE) principles are incorporated in construction‐related policy roadmaps worldwide, addressing the growing need for effective resource strategies in a highly material‐intensive sector. National strategic CE documents from 57 countries were analyzed using natural language processing techniques, and then ...
Aidana Tleuken, Hamad Hassan Awan, Aidos Kyrkynbay, Sanzhar Sanat, Huseyin Atakan Varol, Ferhat Karaca   +5 more
wiley   +1 more source

Text-to-Model Transformation: Natural Language-Based Model Generation Framework

Systems
System modeling language (SysML) diagrams generated manually by system modelers can sometimes be prone to errors, which are time-consuming and introduce subjectivity. Natural language processing (NLP) techniques and tools to create SysML diagrams can aid
Aditya Akundi, Joshua Ontiveros, Sergio Luna   +2 more
doaj   +1 more source

An engineering approach to knowledge acquisition by the interactive analysis of dictionary definitions [PDF]

, 1998
It has long been recognised that everyday dictionaries are a potential source of lexical and world knowledge of the type required by many Natural Language Processing (NLP) systems.
Poria, Sanjay
core  

Name origin classification with Natural Language Processing models

, 2023
reservedThe exploration of name origins holds immense value in understanding the rich cultural and historical tapestry of human societies. Moreover, name origin classification plays a crucial role in the "Know Your Customer" (KYC) process, which is an ...
ZATTARIN, NICOLE
core