Results 61 to 70 of about 168,099 (309)

LCC-DCU C-C question answering task at NTCIR-5 [PDF]

open access: yes, 2005
This paper describes the work for our participation in the NTCIR-5 Chinese to Chinese Question Answering task. Our strategy is based on the “Retrieval plus Extraction” approach.
Jones, Gareth J.F., Wang, Bin
core  

The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome

open access: yesFEBS Letters, EarlyView.
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley   +1 more source

Harnessing the Power of Metadata for Enhanced Question Retrieval in Community Question Answering

open access: yesIEEE Access
Community Question Answering (CQA) forums such as Yahoo! Answers and Stack Overflow have become popular. The main goal of a CQA is to provide the most suitable answer in the shortest possible time.
Shima Ghasemi, Azadeh Shakery
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

Co-Attention Network With Question Type for Visual Question Answering

open access: yesIEEE Access, 2019
Visual Question Answering (VQA) is a challenging multi-modal learning task since it requires an understanding of both visual and textual modalities simultaneously.
Chao Yang   +4 more
doaj   +1 more source

K-VQA: A visual question answering method

open access: yesJournal of Hebei University of Science and Technology, 2020
The types of questions answered by the visual question answering of images and texts are roughly divided into two types. The first type is the questions that can get the answers directly from the images, and the second type is the questions that need the
Hongbin GAO, Jinying MAO, Huiyong WANG
doaj   +1 more source

Lexical validation of answers in Question Answering [PDF]

open access: yesIEEE/WIC/ACM International Conference on Web Intelligence (WI'07), 2007
Question answering (QA) aims at retrieving precise information from a large collection of documents, typically the Web. Different techniques can be used to find relevant information, and to compare these techniques, it is important to evaluate question answering systems.
Ligozat, Anne-Laure   +4 more
openaire   +2 more sources

PARK(ing) time–How park deficiency affects the biological clock in a Drosophila model of Parkinson's disease

open access: yesFEBS Letters, EarlyView.
Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara   +3 more
wiley   +1 more source

Prompting Is Not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models

open access: yesBig Data Mining and Analytics
Recently, with the rapid advancements in Large Language Models (LLMs), LLM-based Open-domain Question Answering (OpenQA) methods have reaped the benefits of emergent understanding and answering capabilities enabled by massive parameters compared to ...
Tingjia Shen   +7 more
doaj   +1 more source

Corpus-based Pattern Induction for a Knowledge-based Question Answering Approach

open access: yes, 2007
Cimiano P, Erdmann M, Ladwig G. Corpus-based Pattern Induction for a Knowledge-based Question Answering Approach. In: Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007). IEEE Computer Society; 2007: 671-678.In this
Erdmann, Michael   +2 more
core   +1 more source

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