Results 131 to 140 of about 1,302,763 (303)

Spatial relation extraction using relational learning

, 2011
Abstract. The automatic extraction of spatial information is a challenging and novel task with many applications. We motivate our denition of this task and formulate it as an information extraction step prior to mapping to spatial semantics. Each sentence gives rise to several spatial relations between words representing landmarks, trajectors and ...
Kordjamshidi, Parisa, Frasconi, Paolo, van Otterlo, Martijn, Moens, Marie-Francine, De Raedt, Luc   +4 more
openaire   +1 more source

β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1

Molecular Oncology, EarlyView.
Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero, Alejandro Belmonte‐Fernández, Mónica González‐Moreno, Laura Rodríguez‐Cordero, Begoña Pérez‐Valderrama, Joaquín Herrero‐Ruíz, Francisco Romero, Carmen Sáez, Miguel Á. Japón   +8 more
wiley   +1 more source

Multilingual Relation Extraction: A Survey

IEEE Access
Relation extraction plays a fundamental role in applications of various research fields such as knowledge graph construction, event extraction, and question answering over knowledge graphs, as they often rely on extracting relationships between named ...
Manzoor Ali, Rene Speck, Hamada M. Zahera, Muhammad Saleem, Diego Moussallem, Axel-Cyrille Ngonga Ngomo   +5 more
doaj   +1 more source

Research on syntactic dependency tree and Ontology constraint in remote Supervising relation extraction

, 2021
Shuxu Zhao, Yiguang Zhang, Xiaolong Wang
openalex   +1 more source

A Relation-Oriented Clustering Method for Open Relation Extraction [PDF]

, 2021
Jun Zhao, Tao Gui, Qi Zhang, Yaqian Zhou
openalex   +1 more source

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

Molecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou, Zhen Wang, Fei Yang, Xiao Han, Lei Li, Huadong Liu   +5 more
wiley   +1 more source

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham, Jasibel Vasquez‐Gonzalez, Samantha M. Barnada, Salome Tchotorlishvili, Latese Jones, Ryan Maguire, Genevieve Lewis, Kinza Rizwan, Jenny Deng, Salma Koachar, Drithi Patel, Hailey Shankle, Tessa Mulders, Namra Ajmal, Charalambos Solomides, Emad S. Alnemri, Teresa F. Alnemri, Ayesha A. Shafi, Leonard G. Gomella, Wm Kevin Kelly, Steven B. McMahon, Matthew J. Schiewer   +21 more
wiley   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning

International Journal of Computational Intelligence Systems
In current relation extraction tasks, when the input sentence structure is complex, the performance of in-context learning methods based on large language model is still lower than that of traditional pre-train fine-tune models.
Jinzhe Li
doaj   +1 more source

Simple Large-scale Relation Extraction from Unstructured Text [PDF]

, 2018
Christos Christodoulopoulos, Arpit Mittal   +1 more
openalex   +1 more source