Results 271 to 280 of about 318,238 (318)

Leveraging Large Language Models in Extracting Drug Safety Information from Prescription Drug Labels. [PDF]

Drug Saf
Gisladottir U, Zietz M, Kivelson S, Tanaka Y, Sirdeshmukh G, Brown KL, Tatonetti NP.   +6 more
europepmc   +1 more source

Robust comparative evaluation of 15 natural language processing algorithms to positively identify patients with inflammatory bowel disease from secondary care records. [PDF]

BMJ Open Gastroenterol
Stammers M, Gwiggner M, Nouraei R, Metcalf C, Batchelor J.   +4 more
europepmc   +1 more source

Exploring unanswerability in machine reading comprehension: approaches, benchmarks, and open challenges. [PDF]

Artif Intell Rev
Moradisani H, Zarrinkalam F, Noorian Z, Ensan F.   +3 more
europepmc   +1 more source

Machine Learning-Enhanced Surveillance for Surgical Site Infections in Patients Undergoing Colon Surgery: Model Development and Evaluation Study. [PDF]

JMIR Form Res
Celik U, Liu F, Kobayashi K, Ellison Iii RT, Guilarte-Walker Y, Mack DA, Shi Q, Zai A.   +7 more
europepmc   +1 more source

Word learning tasks as a window into the triggering problem for presuppositions. [PDF]

Nat Lang Semant
Bade N, Schlenker P, Chemla E.
europepmc   +1 more source

Propositional Negation and Constituent Negation

Propositional Negation and Constituent Negation
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Negation of the Quantum Mass Function for Multisource Quantum Information Fusion With its Application to Pattern Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
In artificial intelligence systems, a question on how to express the uncertainty in knowledge remains an open issue. The negation scheme provides a new perspective to solve this issue.
Fuyuan Xiao, W. Pedrycz
semanticscholar   +1 more source

This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models

Conference on Empirical Methods in Natural Language Processing, 2023
Although large language models (LLMs) have apparently acquired a certain level of grammatical knowledge and the ability to make generalizations, they fail to interpret negation, a crucial step in Natural Language Processing. We try to clarify the reasons
Iker García-Ferrero, Begoña Altuna, J. Álvez, Itziar Gonzalez-Dios, Germán Rigau   +4 more
semanticscholar   +1 more source

Quantum Pythagorean Fuzzy Evidence Theory: A Negation of Quantum Mass Function View

IEEE transactions on fuzzy systems, 2021
Dempster–Shafer (D-S) evidence theory is an effective methodology to handle unknown and imprecise information because it can assign probability into the power set.
Xiaozhuan Gao, Lipeng Pan, Yong Deng
semanticscholar   +1 more source

Help-Negation

Australian & New Zealand Journal of Psychiatry, 2010
Without ...
Wilson, Coralie J, Deane, Frank P
openaire   +3 more sources