Results 71 to 80 of about 17,118 (185)

Integrating Pooling Techniques and Part of Speech Tagging for Enhanced Chinese Semantic Role Labeling

Engineering Reports, Volume 8, Issue 4, April 2026.
Integrating pooling techniques and POS tagging for enhanced Chinese SRL. ABSTRACT Semantic Role Labeling (SRL) aims to recover predicate‐argument structures in a sentence. Although character‐based pretrained language models perform strongly on Chinese SRL, they still suffer from core‐argument boundary attribution errors, especially around function ...
Ning Ma, Jiahao Wang
wiley   +1 more source

Automatic extraction of microorganisms and their habitats from free text using text mining workflows

Journal of Integrative Bioinformatics, 2011
In this paper we illustrate the usage of text mining workflows to automatically extract instances of microorganisms and their habitats from free text; these entries can then be curated and added to different databases.
Kolluru BalaKrishna, Nakjang Sirintra, Hirt Robert P., Wipat Anil, Ananiadou Sophia   +4 more
doaj   +1 more source

UPGMpp: a Software Library for Contextual Object Recognition [PDF]

, 2015
Object recognition is a cornerstone task towards the scene understanding problem. Recent works in the field boost their perfor- mance by incorporating contextual information to the traditional use of the objects’ geometry and/or appearance.
Galindo, Cipriano, Gonzalez-Jimenez, Antonio Javier, Ruiz-Sarmiento, Jose-Raul   +2 more
core  

Epigenetic mechanisms and therapeutic innovations in chronic pain‐associated neuropsychiatric co‐morbidities

British Journal of Pharmacology, Volume 183, Issue 7, Page 1313-1340, April 2026.
Abstract Chronic pain, marked by nociceptive sensitization and maladaptive neuroplasticity, affects 30% of the global population with escalating socioeconomic burdens. Epidemiological data show a 2‐3‐fold increase in neuropsychiatric co‐morbidities among individuals with chronic pain, where epigenetic dysregulation serves as a key mechanism linking ...
Kai Zhang, Sijia Zhu, Na Xing, Zhen Zhou, Jiayi Chen, Tianen Si, Mingrui Li, Lin Jia, Yousef Rastegar‐Kashkooli, Tom J. Wang, Wei Zhu, Jing Li, Chao Jiang, Junmin Wang, Moxin Wu, Xiaoping Yin, Weidong Zang, Jian Wang, Songxue Su   +18 more
wiley   +1 more source

Profound neuronal differences during exercise‐induced hypoalgesia between athletes and non‐athletes revealed by functional near‐infrared spectroscopy

The Journal of Physiology, Volume 604, Issue 7, Page 2738-2756, 1 April 2026.
Abstract figure legend After high‐intensity interval training (HIIT), endurance athletes demonstrated a reduction in pain perception, alongside decreased oxyhaemoglobin concentrations in the prefrontal, sensorimotor and posterior parietal cortices.
Maria Geisler, Marco Herbsleb, Feliberto de la Cruz, Sabrina von Au, Andy Schumann, Ilona Croy, Karl‐Jürgen Bär   +6 more
wiley   +1 more source

Terrain Classification of Polarimetric Synthetic Aperture Radar Images Based on Deep Learning and Conditional Random Field Model

Leida xuebao, 2019
In recent years, Polarimetric Synthetic Aperture Radar (PolSAR) image classification has been investigated extensively. The traditional PolSAR image terrain classification methods result in a weak feature representation. To overcome this limitation, this
HU Tao, LI Weihua, QIN Xianxiang, WANG Peng, YU Wangsheng, LI Jun   +5 more
doaj   +1 more source

Automatic Amharic Part of Speech Tagging (AAPOST): A Comparative Approach Using Bidirectional LSTM and Conditional Random Fields (CRF) Methods

, 2020
Part of speech (POS) tagging is an initial task for many natural language applications. POS tagging for Amharic is in its infancy. This study contributes towards the improvement of Amharic POS tagging by experimenting using Deep Learning and Conditional Random Fields (CRF) approaches. Word embedding is integrated into the system to enhance performance.
Birhanie, Worku Kelemework, Butt, Miriam
openaire   +2 more sources

Towards Enhancing Healthcare Data Privacy: Integrating BioClinicalBERT With Polyalphabetic Cipher for Entity Recognition and Anonymization

Engineering Reports, Volume 8, Issue 3, March 2026.
This study presents a dual‐layered anonymization model combining BioClinicalBERT and polyalphabetic cipher to accurately identify and protect sensitive healthcare data. It achieves strong F1 scores while maintaining data utility, enabling privacy‐preserving clinical research compliant with GDPR and HIPAA regulations.
Deblina Mazumder Setu, Tania Islam, Md Maklachur Rahman, Samrat Kumar Dey   +3 more
wiley   +1 more source

Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model

JMIR Medical Informatics, 2020
Background With the increasing variety of drugs, the incidence of adverse drug events (ADEs) is increasing year by year. Massive numbers of ADEs are recorded in electronic medical records and adverse drug reaction (ADR) reports, which are important sources of potential ADR information. Meanwhile, it is essential
Hong Wu, Jiatong Ji, Haimei Tian, Yao Chen, Weihong Ge, Haixia Zhang, Feng Yu, Jianjun Zou, Mitsuhiro Nakamura, Jun Liao   +9 more
openaire   +3 more sources

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source