Results 151 to 160 of about 82,529 (316)
NLP-7 and TGF-β/DAF-7 modulate the decision to leave the OP50 food lawn paired with 2-nonanone.
, 2019 (A-D) The mutant animals that are defective in the biosynthesis of the neurotransmitter serotonin (A, tph-1(mg280), n = 2 assays each), or dopamine (B, cat-2(e1112), n = 4 assays each), or tyramine and octopamine (C, tdc-1(n3419), n = 2 assays each), or ...
Yun Zhang (131894) +5 more
core +1 more source
Carbon and Hydrogen, EarlyView.Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source
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 +11 more
core +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Carbon Energy, EarlyView.Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Design and Development of a Secure NLP-Powered Chatbot for Confidential Document Retrieval [PDF]
openQuesto argomento si concentra sulla creazione di un sistema di domanda-risposta sicuro utilizzando tecniche di elaborazione del linguaggio naturale (NLP) per estrarre e recuperare informazioni da documenti PDF riservati.
KUMAR, VISHAL
core
Partial identification with categorical data and nonignorable missing outcomes
Canadian Journal of Statistics, EarlyView.Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
NLP Scholar: A Dataset for Examining the State of NLP Research.
, 2020 12th Conference on Language Resources and Evaluation [Held Virtually], May 11-16, 2020, Marseille ...
openaire +2 more sources
From Email Mining to Unsupervised Classification: An NLP Approach
reservedNatural Language Processing (NLP) techniques for document classification have significantly advanced, especially unsupervised and zero-shot methods thanks to the development of large language models (LLMs).
ORTEGA DOMINGUEZ, ESTEBAN
core
Feeding OWL: Extracting and Representing the Content of Pathology Reports
, 2004 Schlangen D, Stede M, Paslaru Bontas E. Feeding OWL: Extracting and Representing the Content of Pathology Reports. In: Proceedings of the 4th Workshop on NLP and XML (NLPXML-2004).
Paslaru Bontas, Elena +2 more
core
Data mining and NLP for Processing Social Offers of a National Aid Organization
For large organisations with numerous organisational units, it can be challenging to keep track of individual events. In a joint project by Data Science for Social Good Berlin e.V.
Benjamin Senst
core +1 more source