Results 41 to 50 of about 424,969 (317)

Neural Question Answering at BioASQ 5B

, 2017
This paper describes our submission to the 2017 BioASQ challenge. We participated in Task B, Phase B which is concerned with biomedical question answering (QA). We focus on factoid and list question, using an extractive QA model, that is, we restrict our
Neves, Mariana, Weissenborn, Dirk, Wiese, Georg   +2 more
core   +1 more source

Pioneering the Future: Principles, Advances, and Challenges in Organic Electrodes for Aqueous Ammonium‐Ion Batteries

Advanced Materials, Volume 37, Issue 13, April 2, 2025.
Leveraging the numerous advantages of ammonium‐ion (NH₄⁺)—including cost‐effectiveness, low corrosiveness, preferential orientation, and rapid diffusion kinetics—aqueous NH₄⁺ batteries (AAIBs) have gained significant attention. This review highlights and evaluates the progress of AAIBs utilizing organic electrode materials such as small molecules ...
Mangmang Shi, Xiaoyan Zhang
wiley   +1 more source

Controlling Risk of Web Question Answering

, 2019
Web question answering (QA) has become an indispensable component in modern search systems, which can significantly improve users' search experience by providing a direct answer to users' information need.
Devlin Jacob, Dunn Matthew, Ferrucci David, Gal Yarin, Geifman Yonatan, Guo Chuan, Lai Guokun, Levy Omer, Malinin Andrey, Nguyen Tri, Richardson Matthew, Vinyals Oriol, Voorhees Ellen M., Wang Shuohang   +13 more
core   +1 more source

Text Mining of CVD Synthesis Recipes for 2D Materials

Advanced Materials, EarlyView.
A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu, Richard A. Chen, Aijia Yao, Meng‐Chi Chen, Ji‐Hoon Park, Tianyi Zhang, Xudong Zheng, Nannan Mao, Jiangtao Wang, Zhien Wang, Tomás Palacios, Jing Kong   +11 more
wiley   +1 more source

Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study [PDF]

, 2021
Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su   +6 more
openalex   +1 more source

Flexible Chemiresistive Chitosan‐Glycerol Sensors on Laser‐Induced Graphene Electrodes for Room‐Temperature Ammonia Detection

Advanced Materials Technologies, EarlyView.
Flexible Chitosan‐glycerol sensor integrated with porous laser‐induced graphene (LIG) electrodes enable room‐temperature chemiresistive detection of ammonia (NH3) and proof‐of‐concept detection of fish spoilage. ABSTRACT We report a metal‐free sensor platform combining laser induced graphene (LIG) electrodes with drop‐deposited, glycerol‐plasticized ...
Mintesinot Tamiru Mengistu, Richard Murray, Cara‐Lena Nies, Cathal Larrigy, Martina Piletti, Jahidul Islam, Daniela Iacopino, Eileen Hurley, Michael Nolan, Aidan J. Quinn   +9 more
wiley   +1 more source

Highly Resolved Community Sewage Metagenomics Unveiling Landscape and Transmission Patterns of Antibiotic Resistome in Hong Kong Populations

Advanced Science, EarlyView.
A large‐scale, high‐resolution antimicrobial resistance (AMR) surveillance in Hong Kong community sewage combining short‐ and long‐read sequencing. The resistome profile is comprehensively characterized, and this upstream sampling strategy demonstrated superiority in reflecting the human gut resistome.
Jiahui Ding, Mengying Wang, Xiaoqing Xu, Dou Wang, Xi Chen, Shuxian Li, Xiawan Zheng, You Che, Yu Deng, Tommy T. Y. Lam, Liguan Li, Tong Zhang   +11 more
wiley   +1 more source

Crystal structure of Qa-1a with bound Qa-1 determinant modifier peptide. [PDF]

PLoS ONE, 2017
Qa-1 is a non-classical Major Histocompatibility (MHC) class I molecule that generally presents hydrophobic peptides including Qdm derived from the leader sequence of classical MHC I molecules for immune surveillance by NK cells.
Ge Ying, Jing Wang, Vipin Kumar, Dirk M Zajonc   +3 more
doaj   +1 more source

Arabic Question Answering Systems: Gap Analysis

IEEE Access, 2021
Question-answering (QA) systems aim to provide answers for given questions. The answers can be extracted or generated from either unstructured or structured text.
Mariam M. Biltawi, Sara Tedmori, Arafat Awajan   +2 more
doaj   +1 more source

QA‐LIGN: Aligning LLMs through Constitutionally Decomposed QA

Findings of the Association for Computational Linguistics: EMNLP 2025
Alignment of large language models (LLMs) with principles like helpfulness, honesty, and harmlessness typically relies on scalar rewards that obscure which objectives drive the training signal. We introduce QA-LIGN, which decomposes monolithic rewards into interpretable principle-specific evaluations through structured natural language programs. Models
Dineen, Jacob, RRV, Aswin, Liu, Qin, Xu, Zhikun, Ye, Xiao, Shen, Ming, Li, Zhaonan, Lu, Shijie, Baral, Chitta, Chen, Muhao, Zhou, Ben   +10 more
openaire   +2 more sources