Academic Articles & Research Papers

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

BACKGROUND: Novel approaches that complement and go beyond evidence-based medicine are required in the domain of chronic diseases, given the growing incidence of such conditions on the worldwide population. A promising avenue is the seconda...

Multi-Task Learning in Natural Language Processing: An Overview

Deep learning approaches have achieved great success in the field of Natural Language Processing (NLP). However, directly training deep neural models often suffer from overfitting and data scarcity problems that are pervasive in NLP tasks. ...

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more work...

The Handbook of Computational Linguistics and Natural Language Processing

On the Explainability of Natural Language Processing Deep Models

Despite their success, deep networks are used as black-box models with outputs that are not easily explainable during the learning and the prediction phases. This lack of interpretability is significantly limiting the adoption of such model...

Biodegradable Foam Synthesized from Lignin-Rich Brewer’s Spent Grain Waste with Potential Use as a Sustainable Alternative for Packaging Applications.

Bridging herb and needle: shared hepatoprotective mechanisms of saikosaponins and acupuncture and the rationale for combined therapy.

Development and evaluation of Retrieval-Augmented Generation (RAG) and GraphRAG for guideline-based clinical decision support in chronic kidney disease.

Eating behaviors in preschoolers with autism spectrum disorders: associations with developmental and behavioral features and parental mental health.

Nitrile-Based Leishmania Cysteine Protease B Inhibitors with In Vivo Efficacy against Visceral Leishmaniasis.

Contrasting Spatial Genomic Structure in Two Widespread Grassland Species Across Norway Supports Species‐Specific Seed Sourcing.

Zonula occludens-1 at the ischemic blood–brain barrier: mechanisms of disruption, functional significance, and experimental modulation.

Transforming Dental Education in India: AI-Driven Personalized Learning to Enhance Cognitive Skills and Overcome Language Barriers.

Mapping the monthly habitat dynamics of greater amberjack using MaxEnt model in the Taiwan Strait: Implications for sustainable blue transformations.

Agent_K: An Agent-Orchestrated Pipeline for Mapping Genes to Biosynthetic Pathway towards Metabolite Discovery.

Leveraging sentiment analysis of food delivery services reviews using deep learning and word embedding

Companies that deliver food (food delivery services, or FDS) try to use customer feedback to identify aspects where the customer experience could be improved. Consumer feedback on purchasing and receiving goods via online platforms is a cru...

КАЗКОВІ ПРЕЦЕДЕНТНІ ІМЕНА В АНГЛОМОВНОМУ МЕДІА-ДИСКУРСІ

У статті розглянуто казкові прецедентні імена, дібрані із текстів англомовного медіа-дискурсу, на засадах когнітивної лінгвістики. Висвітлення лінгвокогнітивних особливостей казкових прецедентних імен здійснено у межах концептуального аналі...

Label-Guided Data Augmentation for Chinese Named Entity Recognition

Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text. It plays a crucial role in applications such as information extraction, machine tran...

НОМІНАТИВНІ ВЛАСТИВОСТІ СУБСТАНТИВОВАНОГО ПАРТИЦИПА НІМЕЦЬКОЇ МОВИ

Статтю присвячено комплексному вивченню субстантивованого партиципа (СП) сучасної німецької мови з метою з’ясування його лексико-семантичних і морфологічних особливостей. У німецькій мові можуть субстантивуватися як перші, так і другі парти...

Optimising Contextual Embeddings for Meaning Conflation Deficiency Resolution in Low-Resourced Languages

Meaning conflation deficiency (MCD) presents a continual obstacle in natural language processing (NLP), especially for low-resourced and morphologically complex languages, where polysemy and contextual ambiguity diminish model precision in ...