Using Natural Language Processing to Characterize Early Steps in the Kidney Transplant Evaluation Process Documented in the National Veterans Affairs Electronic Health Record. [PDF]
Clin TransplantEyre H +9 more
europepmc +1 more source
Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]
Sensors (Basel)Moila RL, Velempini M.
europepmc +1 more source
Identification and validation of respiratory virus immunization using natural language processing. [PDF]
Front Digit HealthWilson KA +18 more
europepmc +1 more source
The evolving landscape of large language models and non-large language models in health care. [PDF]
Npj Health SystYang R +15 more
europepmc +1 more source
A Survey of Text Representation and Embedding Techniques in NLP
IEEE Access, 2023 Natural Language Processing (NLP) is a research field where a language in consideration is processed to understand its syntactic, semantic, and sentimental aspects.
Rajvardhan Patil, Venkat Gudivada
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A Survey of Adversarial Defenses and Robustness in NLP
ACM Computing Surveys, 2023In the past few years, it has become increasingly evident that deep neural networks are not resilient enough to withstand adversarial perturbations in input data, leaving them vulnerable to attack. Various authors have proposed strong adversarial attacks
Shreya Goyal +2 more
exaly +2 more sources
NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark
Conference on Empirical Methods in Natural Language Processing, 2023In this position paper, we argue that the classical evaluation on Natural Language Processing (NLP) tasks using annotated benchmarks is in trouble. The worst kind of data contamination happens when a Large Language Model (LLM) is trained on the test ...
Oscar Sainz +5 more
semanticscholar +1 more source
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
Annual Meeting of the Association for Computational LinguisticsThere is an increasing trend towards evaluating NLP models with LLMs instead of human judgments, raising questions about the validity of these evaluations, as well as their reproducibility in the case of proprietary models.
A. Bavaresco +19 more
semanticscholar +1 more source
Listening skill is an important employability skill that helps learners comprehend any piece of information. The study aims at developing the listening skill of students at the tertiary level. As listening has been neglected in language learning and teaching and students are not much exposed to listening skill, the researcher has focused on developing ...
Subbu Nisha M., Rajasekaran V.
openaire +1 more source
FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP
North American Chapter of the Association for Computational Linguistics, 2019We present FLAIR, an NLP framework designed to facilitate training and distribution of state-of-the-art sequence labeling, text classification and language models.
A. Akbik +5 more
semanticscholar +1 more source