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Academic Articles & Research Papers
Showing 20 of 277 academic articles
Timothy R. Brick, Matthias J. Scheutz • ACM/IEEE International Conference on Human-Robot Interaction (HRI)
(2007)
Robots that interact with humans face-to-face using natural language need to be responsive to the way humans use language in those situations. We propose a psychologically-inspired natural language processing system for robots which perform...
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DOI: https://doi.org/10.1145/1228716.1228752
Zhijing Jin, Rada F. Mihalcea • Springer eBooks
(2022)
Abstract Language is the medium for many political activities, from campaigns to news reports. Natural language processing (NLP) uses computational tools to parse text into key information that is needed for policymaking. In this chapter, w...
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cc-by
DOI: https://doi.org/10.1007/978-3-031-16624-2_7
Elsa Olivetti, Jacqueline M. Cole, Edward Kim, Olga Kononova et al. • Applied Physics Reviews
(2020)
Given the emergence of data science and machine learning throughout all aspects of society, but particularly in the scientific domain, there is increased importance placed on obtaining data. Data in materials science are particularly hetero...
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other-oa
DOI: https://doi.org/10.1063/5.0021106
Enrico Franconi B • Cambridge University Press eBooks
(2007)
In most natural language processing applications, Description Logics have been used to encode in a knowledge base some syntactic, semantic, and pragmatic elements needed to drive the semantic interpretation and the natural language generati...
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DOI: https://doi.org/10.1017/cbo9780511711787.017
Ralph Weischedel, J Carbonell, Barbara J. Grosz, W. Lehnert et al. • Annual Review of Computer Science
(1990)
From the Publisher:
These ten contributions describe the major technical ideas underlying many of the significant advances in natural language processing over the last decade, focusing in particular on the challenges in areas such as knowl...
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DOI: https://doi.org/10.1146/annurev.cs.04.060190.002251
Vandeventer Faltin, Anne • Linguistik Online
(2003)
This paper illustrates the usefulness of natural language processing (NLP) tools for computer assisted language learning (CALL) through the presentation of three NLP tools integrated within a CALL software for French. These tools are (i) a ...
DOAJ
Open Access (DOAJ)
Dastan Hussen Maulud, Subhi R. M. Zeebaree, Karwan Jacksi, Mohammed Mohammed Sadeeq et al. • Qubahan Academic Journal
(2021)
Semantic analysis is an essential feature of the NLP approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of th...
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cc-by-nc-nd
DOI: https://doi.org/10.48161/qaj.v1n2a40
Mariya Toneva, Leila Wehbe • arXiv (Cornell University)
(2019)
Neural networks models for NLP are typically implemented without the explicit encoding of language rules and yet they are able to break one performance record after another. This has generated a lot of research interest in interpreting the ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1905.11833
Michael Piotrowski • Journal of European Periodical Studies
(2019)
Serial sources such as records, registers, and inventories are the ‘classic’ sources for quantitative history. Unstructured, narrative texts such as newspaper articles or reports were out of reach for historical analyses, both for practical...
DOAJ
Open Access (DOAJ)
DOI: 10.21825/jeps.v4i1.10226
Alina Dushkevych • Філологічні студії
(2025)
The article is devoted to a comprehensive analysis of the resources of forming the English terminological system of inclusive education in the modern educational environment. The role of terminology as a tool for standardizing knowledge, co...
DOAJ
Open Access (DOAJ)
DOI: 10.28925/2412-2491.2025.255
Aneeqa Ahmad, Musarrat Azher, Muhammad Asim Mahmood • NUML Journal of Critical Inquiry
(2025)
This study aims at investigating how humor is constructed in corporate memes through cognitive mechanisms and how corporate memes are used as a collective voice by Pakistani employees to express discontent with their work culture and organi...
DOAJ
Open Access (DOAJ)
DOI: 10.52015/numljci.v23iII.296
Tahiyah Nou‐Shene, Vikramkumar Pudi, K. Sridharan, Vineetha Thomas et al. • IET Computer Vision
(2015)
Autonomous vehicles engaged in terrain exploration are typically equipped with a camera. The camera is subjected to vibration as the vehicle moves so that the videos captured require stabilisation to facilitate accurate interpretation by re...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2014.0120
Suyang Xi, Zihan Liu, Ziming Wang, Qiang Zhang et al. • IEEE Access
(2024)
Lane detection is fundamental to autonomous driving, yet remains challenging in complex environments with occlusions, ambiguous markings, and varied lighting. We introduce the Global Semantic Enhancement Network (GSENet), a groundbreaking f...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3429396
Joseph L. Mundy, Andrew Zisserman • The MIT Press eBooks
(1992)
Part 1 Foundations: algebraic invariants - invariant theory and enumerative combinatorics of young tableaux, Shreeram S. Abhyankar, geometric interpretation of joint conic invariants, Joseph L. Mundy, et al, an experimental evaluation of pr...
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Txomin Hermosilla • ELCVIA Electronic Letters on Computer Vision and Image Analysis
(2014)
Urban areas areimportant environments, accounting for approximately half the population of theworld. Cities attract residents partly because they offer ample opportunitiesfor development, which often results in urban sprawl and its complex ...
DOAJ
Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.584
G. Sezen, M. Cakir, M. E. Atik, Z. Duran • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2022)
Detecting building façade elements is a crucial problem in computer vision for image interpretation. In Building Information Modeling (BIM) studies, the detection of building façade elements has an important role. BIM is a tool that allows ...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLIII-B4-2022-315-2022
Zhouyi Wang, Changcheng Wang • Applied Sciences
(2025)
Super-resolution reconstruction is a critical task in remote sensing image classification, and generative adversarial networks (GANs) have emerged as a dominant approach in this field. Traditional generative networks often produce low-quali...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15031179
Carl J. Vyborny, Maryellen Lissak Giger • American Journal of Roentgenology
(1994)
The revolution in digital computer technology that has made possible new and sophisticated imaging techniques may next influence the interpretation of radiologic images. In mammography, computer vision and artificial intelligence techniques...
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DOI: https://doi.org/10.2214/ajr.162.3.8109525
Vinodkumar Patil, Manisha Patil, Smital Patil, Satish Desale • Advances in Engineering and Intelligence Systems
(2026)
Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...
DOAJ
Open Access (DOAJ)
DOI: 10.22034/aeis.2026.570662.1424
Roberto Brunelli • Wiley eBooks
(2009)
The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling huma...
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DOI: https://doi.org/10.1002/9780470744055