Results 31 to 40 of about 29,099 (159)
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 +13 more
doaj +1 more source
Text Mining of CVD Synthesis Recipes for 2D Materials
A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu +11 more
wiley +1 more source
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 +6 more
wiley +1 more source
Quantum Natural Language Processing: Challenges and Opportunities
The meeting between Natural Language Processing (NLP) and Quantum Computing has been very successful in recent years, leading to the development of several approaches of the so-called Quantum Natural Language Processing (QNLP).
Raffaele Guarasci +2 more
doaj +1 more source
Natural Language Processing (NLP) is a technology that permits computers to recognize human languages. Words are the fundamental unit of analysis in deep-level grammatical and semantic analysis. The main goal of NLP is typically word segmentation.
Fei Wu
doaj +1 more source
Language model pre-training architectures have demonstrated to be useful to learn language representations. bidirectional encoder representations from transformers (BERT), a recent deep bidirectional self-attention representation from unlabelled text ...
Akın Özçift +3 more
doaj +1 more source
Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches
Representation learning seeks to extract useful and low-dimensional attributes from complex and high-dimensional data. Natural language processing (NLP) was used to investigate the representation learning models to extract words’ feature vectors using ...
Lívia Almada Cruz +6 more
doaj +1 more source
Children and adults produce distinct technology- and human-directed speech
This study compares how English-speaking adults and children from the United States adapt their speech when talking to a real person and a smart speaker (Amazon Alexa) in a psycholinguistic experiment. Overall, participants produced more effortful speech
Michelle Cohn +4 more
doaj +1 more source
Objective: To improve a previously developed prediction model that could assist in the triage of individual case safety reports using the addition of features designed from free text fields using natural language processing.Methods: Structured features ...
Thomas Lieber +6 more
doaj +1 more source
Advancements in natural language processing: Implications, challenges, and future directions
This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions.
Supriyono +3 more
doaj +1 more source

