Results 81 to 90 of about 314,969 (284)

Science‐Towards‐Technology Breakthrough in CO2 Electroreduction: Multiphysics, Multiscale, and Artificial Intelligence Insights

Advanced Materials, EarlyView.
Electrochemical CO2RR is a key technology for converting CO2 into chemicals, but there remains a gap between “laboratory science” and “engineering practice” in current research. This review establishes a multi‐scale research framework, encompassing atomic‐level characterization, microenvironment regulation, external field‐assisted optimization, and AI ...
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Named Entity Recognition: Resource Constrained Maximum Path

ITM Web of Conferences, 2017
Information Extraction (IE) is a process focused on automatic extraction of structured information from unstructured text sources. One open research field of IE relates to Named Entity Recognition (NER), aimed at identifying and associating atomic ...
Di Puglia Pugliese Luigi, Fersini Elisabetta, Guerriero Francesca, Messina Enza   +3 more
doaj   +1 more source

Boosting for named entity recognition [PDF]

proceeding of the 6th conference on Natural language learning - COLING-02, 2002
This paper presents a system that applies boosting to the task of named-entity identification. The CoNLL-2002 shared task, for which the system is designed, is language-independent named-entity recognition. Using a set of features which are easily obtainable for almost any language, the presented system uses boosting to combine a set of weak ...
Dekai Wu, Grace Ngai, Marine Carpuat, Jeppe Larsen, Yongsheng Yang   +4 more
openaire   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Named Entity Recognition Datasets: A Classification Framework

International Journal of Computational Intelligence Systems
Named entity recognition as a fundamental task plays a crucial role in accomplishing some of the tasks and applications in natural language processing. In the age of Internet information, as far as computer applications are concerned, a huge proportion ...
Ying Zhang, Gang Xiao
doaj   +1 more source

On–Off Switchable Micromotors for Use in Steerable Microvehicles

Advanced Robotics Research, EarlyView.
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson, Eswaran Murugasen, Jose G. Martinez, Edwin W. H. Jager   +3 more
wiley   +1 more source

Strawberry Notch 1 Acts as a Transcriptional Regulator Driving Oncogenic Programs in Liver Carcinogenesis

Advanced Science, EarlyView.
This study reports that SBNO1 protein is upregulated in several cancer entities. SBNO1 protein interacts with the basal transcription factor TFIID via TAF4, enabling its recruitment to transcription start sites and the modulation of target gene expression.
Sarah Fritzsche, Raisatun Nisa Sugiyanto, Kira Gür, Alina Krumme, Maxime Le Marois, Angelika Fraas, Aslihan Inal, Mario Huerta, Vanessa Henriques, Eva Eiteneuer, Thomas Albrecht, Alphonse Charbel, Michael T. Dill, Carsten Sticht, Carolina De La Torre, Stefan Pusch, Arianeb Mehrabi, Kai Breuhahn, Junfang Ji, Peter Schirmacher, Benjamin Goeppert, Stephanie Roessler   +21 more
wiley   +1 more source

Named Entity Recognition on Turkish Tweets [PDF]

, 2013
Various recent studies show that the performance of named entity recognition (NER) systems developed for well-formed text types drops significantly when applied to tweets.
JACQUET GUILLAUME, KUCUK DILEK, STEINBERGER Ralf   +2 more
core  

Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition

, 2019
Traditional language models are unable to efficiently model entity names observed in text. All but the most popular named entities appear infrequently in text providing insufficient context.
Du, Jingfei, Liu, Angli, Stoyanov, Veselin   +2 more
core   +1 more source

The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics

Advanced Science, EarlyView.
Ionic liquids (ILs) are highlighted as key artificial ionic materials that bridge biological ion‐based signaling and electronic devices. By understanding their composition, structure, function relationships, and mechanisms, ILs can advance from high performance electrolyte to core materials enabling integrated, multifunctional bioelectronics for ...
Yeong‐sinn Ye, Young Jin Jo, Ji Yeon Oh, Ju Yeon Jeong, Lili Guo, Tae‐il Kim   +5 more
wiley   +1 more source