Results 71 to 80 of about 156,586 (309)
Extractive multi-document text summarization based on graph independent sets
Egyptian Informatics Journal, 2020 We propose a novel methodology for extractive, generic summarization of text documents. The Maximum Independent Set, which has not been used previously in any summarization study, has been utilized within the context of this study.
Taner Uçkan, Ali Karcı
doaj +1 more source
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
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 +9 more
wiley +1 more source
Document-level Relation Extraction Based on Multi-relation View Axial Attention [PDF]
Jisuanji kexueDocument-level relationship extraction aims to extract relationships between multiple entities from documents.To address the limited multi-hop reasoning capacity of existing methods for establishing connections between entities with different ...
WU Hao, ZHOU Gang, LU Jicang, LIU Hongbo, CHEN Jing
doaj +1 more source
Multi-document text summarization
Περίληψη: Τα τελευταία χρόνια, έχει παρατηρηθεί έντονο ενδιαφέρον για την αυτόματη περίληψη κειμένων, καθώς υπάρχουν πολλές εφαρμογές που απαιτούν την συμπίεση της μεγάλης ποσότητας πληροφορίας που είναι διαθέσιμη σε μικρές, συνοπτικές περιλήψεις. Σε αυτή την κατεύθυνση, η περίληψη κειμένου με μοντέλα sequence-to-sequence (seq2seq) έχει προσελκύσει το ...
Κριθαρακης Εμμανουηλ http://users.isc.tuc.gr/~ekritharakis +1 more
openaire +2 more sources
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Fine-Grained Multi-Document Summarization Extraction Based on Heterogeneous Graph Hierarchical Learning [PDF]
Jisuanji gongchengThe objective of multi-document summarization extraction is to extract common key information from multi-documents. Multi-document summarization extraction requires higher simplicity than single-document summarization extraction.
Yuyuan WENG, Boyan XU, Ruichu CAI
doaj +1 more source
Proposition-Level Clustering for Multi-Document Summarization [PDF]
, 2021 Ori Ernst +6 more
openalex +1 more source
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
Generating Aspect-oriented Multi-document Summarization with Event-Aspect Model [PDF]
, 2011 In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sentences into aspects.
GAO, Wei +3 more
core +3 more sources