Results 171 to 180 of about 3,266 (219)

Heterostructured Materials for Room‐Temperature Na‐S Batteries: Directional Design Strategies and Multifaceted Applications

Advanced Science, EarlyView.
In this work, heterostructured materials for room‐temperature Na‐S batteries are comprehensively reviewed. The electrochemical mechanisms of Na‐S batteries based on various redox pathways are clarified. The intrinsic functionalities and design principles of heterostructured materials are summarized.
Yeqing Yang, Xue Li, Kunjie Zhu, Xiang‐Long Huang, Yun‐Xiao Wang   +4 more
wiley   +1 more source

How Proton Incorporation Reshapes Lattice Dynamics In BaSnO3‐Type Proton Conductors

Advanced Science, EarlyView.
Yttrium‐doped BaSnO3 exhibits isotope‐dependent changes in its low‐energy vibrational density of states upon hydration. Comparison of dry, H2O‐, and D2O‐treated samples re‐veals mass‐dependent phonon renormalization linked to proton dynamics near oxygen va‐cancies, providing experimental insight into hydrogen‐coupled lattice excitations in proton ...
Artur Braun, Alexey Rulev, Nobumoto Nagasawa, Hongxin Wang, Tatyana Bendikov, Vladimir Pomjakushin, Martin Kunz, Yoshitaka Yoda, Qianli Chen, Stephen P. Cramer   +9 more
wiley   +1 more source

Photothermal Amplification via Nanorobotic Swarming Dynamics

Advanced Science, EarlyView.
This study explores a novel approach to enhance photothermal therapy using magnetically regulated microswarms. It details the development of magnetic nanoparticles organized into dynamic structures that improve heat retention and conversion efficiency.
Qinglong Wang, Lin Su, Zhengxin Yang, Yihang Jiang, Haojin Yang, Qianqian Wang, Li Zhang, Ben Wang, Jiajia Wang   +8 more
wiley   +1 more source

89Named entity recognition and entity linking

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Fine-Grained Entity Recognition

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to produce labels from to a small set of entity classes, e.g., person, organization, location or miscellaneous.
Xiao Ling, Daniel S. Weld
openaire   +1 more source

A Survey on Named Entity Recognition

2020
Natural language processing is an important research direction and research hotspot in the field of artificial intelligence. Named entity recognition is one of the key tasks, which is to identify entities with specific meanings in the text, such as names of people, places, institutions, proper nouns, etc.
Yan Wen 0002, Cong Fan, Geng Chen 0002, Xin Chen 0079, Ming Chen 0001   +4 more
openaire   +1 more source

Named entity recognition for tweets

ACM Transactions on Intelligent Systems and Technology, 2013
Two main challenges of Named Entity Recognition (NER) for tweets are the insufficient information in a tweet and the lack of training data. We propose a novel method consisting of three core elements: (1) normalization of tweets; (2) combination of a K-Nearest Neighbors (KNN) classifier with a linear Conditional Random Fields (CRF) model; and (3 ...
Xiaohua Liu, Furu Wei, Shaodian Zhang, Ming Zhou 0001   +3 more
openaire   +1 more source

Entity Recognition for Duplicate Filtering

2014
We propose a system for automatic detection of duplicate entries in a repository of semi-structured text documents. The proposed system employs text-entity recognition to extract information regarding time, location, names of persons and organizations, as well as events described within the document content.
Jorge Alberto Cordero Cruz, Sara Elena Garza Villarreal, Satu Elisa Schaeffer   +2 more
openaire   +1 more source

Named-Entity Recognition in Bengali

Post-Proceedings of the 4th and 5th Workshops of the Forum for Information Retrieval Evaluation, 2013
This paper describes two systems for Named Entity Recognition (NER) and performance of two systems has been compared. The first system is a rule-based one whereas the second one is statistical (based on CRF) in nature. The systems vary in some other aspects too, for example, the first system works on untagged data (not even POS tag is done) to identify
Apurbalal Senapati, Arjun Das, Utpal Garain   +2 more
openaire   +1 more source

Entity Recognition in Information Extraction

2014
Detecting and resolving entities is an important step in information retrieval applications. Humans are able to recognize entities by context, but information extraction systems IES need to apply sophisticated algorithms to recognize an entity. The development and implementation of an entity recognition algorithm is described in this paper.
Novita Hanafiah, Christoph Quix
openaire   +1 more source