Results 41 to 50 of about 234 (196)

Weighted consensus multi-document summarization

Information Processing & Management, 2012
Multi-document summarization is a fundamental tool for document understanding and has received much attention recently. Given a collection of documents, a variety of summarization methods based on different strategies have been proposed to extract the most important sentences from the original documents.
unknown ( host institution ), Wang, Dingding ( author )   +1 more
openaire   +2 more sources

A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Accepted to ACL ...
Parnell, Jacob, Unanue, Inigo Jauregi, Piccardi, Massimo   +2 more
openaire   +2 more sources

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, Carolin Ector, Hanspeter Herzel   +2 more
wiley   +1 more source

Multi-Topic Multi-Document Summarizer

International Journal of Computer Science and Information Technology, 2013
Current multi-document summarization systems can successfully extract summary sentences, however with many limitations including: low coverage, inaccurate extraction to important sentences, redundancy and poor coherence among the selected sentences.
El-Ghannam, Fatma, El-Shishtawy, Tarek
openaire   +2 more sources

Summarizing Learning Materials Using Graph Based Multi-Document Summarization

International Journal of Web-Based Learning and Teaching Technologies, 2021
The learners and teachers of the teaching-learning process highly depend on online learning systems such as E-learning, which contains huge volumes of electronic contents related to a course. The multi-document summarization (MDS) is useful for summarizing such electronic contents. This article applies the task of MDS in an E-learning context.
null Krishnaveni P, null Balasundaram S R   +1 more
openaire   +2 more sources

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

The power of graphs in medicine: Introducing BioGraphSum for effective text summarization

Heliyon
In biomedicine, the expansive scientific literature combined with the frequent use of abbreviations, acronyms, and symbols presents considerable challenges for text processing and summarization. The Unified Medical Language System (UMLS) has been a go-to
Cengiz Hark
doaj   +1 more source

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, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

SENTENCE ORDERING USING CLUSTER CORRELATION AND PROBABILITY IN MULTI-DOCUMENTS SUMMARIZATION

Jurnal Ilmu Komputer dan Informasi, 2017
Most of the document summary are arranged extractive by taking important sentences from the document. Extractive based summarization often not consider the connection sentence.
I Gusti Agung Socrates Adi Guna, Suci Nur Fauziah, Wanvy Arifha Saputra   +2 more
doaj   +1 more source

Extractive multi-document summarization using multilayer networks [PDF]

Physica A: Statistical Mechanics and its Applications, 2018
Huge volumes of textual information has been produced every single day. In order to organize and understand such large datasets, in recent years, summarization techniques have become popular. These techniques aims at finding relevant, concise and non-redundant content from such a big data.
Tohalino, Jorge V., Amancio, Diego R.
openaire   +2 more sources