Results 41 to 50 of about 51,786 (296)

Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study Dataset

, 2020
We conducted a systematic mapping study to address and survey the issues of using Natural Language Processing (NLP) in the domain of Requirements Engineering (RE), as a new sub-field of RE research known as NLP4RE studies. The attached datasets represent
Letsholo, Keletso J, Alhoshan, Waad, Ajagbe, Muideen, Natural Language Processing and Text Mining, Ferrari, Alessio, Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo", Management Sciences, Information Management, Zhao, Liping, Chioasca, Erol-Valeriu, Batista-Navarro, Riza.T   +10 more
core   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

AI-Natural Language Processing (NLP)

International Journal for Research in Applied Science and Engineering Technology, 2021
Natural Language Processing (NLP) could be a branch of Artificial Intelligence (AI) that allows machines to know the human language. Its goal is to form systems that can make sense of text and automatically perform tasks like translation, spell check, or topic classification.
openaire   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Application of large language models to natural language processing and image analysis tasks in dermatology: A systematic review

Intelligent Medicine
Computer vision (CV) and natural language processing (NLP) are 2 crucial subsets of artificial intelligence (AI). Large language models (LLMs) represent a significant application of deep learning in NLP. LLMs are AI systems with transformer architectures
Lian Duan, Ting Li, Bowei Li, Xiaozhen Li, Dafu Fu, Xingyue Yang, Kaiyuan Cao, Hong Cai   +7 more
doaj   +1 more source

Adapting natural language processing for technical text

Applied AI Letters, 2021
Despite recent dramatic successes, natural language processing (NLP) is not ready to address a variety of real‐world problems. Its reliance on large standard corpora, a training and evaluation paradigm that favors the learning of shallow heuristics, and ...
Alden Dima, Sarah Lukens, Melinda Hodkiewicz, Thurston Sexton, Michael P. Brundage   +4 more
doaj   +1 more source

Natural Language Processing approach to NLP Meta model automation [PDF]

2018 International Joint Conference on Neural Networks (IJCNN), 2018
Neuro Linguistic Programming (NLP) is one of the most utilised approaches for personality development and Meta model is one of the most important techniques in this process. Usually, when one speaks about a problem or a situation, the words that one chooses will delete, distort or generalize portions of their experience.
Amirhosseini, Mohammad Hossein, Kazemian, Hassan, Ouazzane, Karim, Chandler, Chris   +3 more
openaire   +2 more sources

An integrated architecture for shallow and deep processing

, 2011
We present an architecture for the integration of shallow and deep NLP components which is aimed at flexible combination of different language technologies for a range of practical current and future applications.
Müller, Stefan, Uszkoreit, Hans, Xu, Feiyu, Schäfer, Ulrich, Siegel, Melanie, Crysmann, Berthold, Frank, Anette, Kiefer, Bernd, Piskorski, Jakub, Neumann, Günter, Krieger, Hans-Ulrich, Becker, Markus   +11 more
core   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Implicit Perception of Differences between NLP‐Produced and Human‐Produced Language in the Mentalizing Network

Advanced Science, 2023
Natural language processing (NLP) is central to the communication with machines and among ourselves, and NLP research field has long sought to produce human‐quality language.
Zhengde Wei, Ying Chen, Qian Zhao, Pengyu Zhang, Longxi Zhou, Jiecheng Ren, Yi Piao, Bensheng Qiu, Xing Xie, Suiping Wang, Jia Liu, Daren Zhang, Roi Cohen Kadosh, Xiaochu Zhang   +13 more
doaj   +1 more source