Results 161 to 170 of about 2,702,605 (333)

Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition

BMC Medical Informatics and Decision Making, 2019
Background This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance.
Wangjin Lee, Jinwook Choi
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

Advanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon, Dong Hwi Kim, Taeyang Jeon, Joo Yeong Na, Heegyu Kim, Hyunsouk Cho, Dae Soo Jung, Ju Li, Jin‐Sung Park, Sung Beom Cho   +9 more
wiley   +1 more source

Hydro‐ and Lipophilicity of Molecular‐Size‐Controlled Hydrogel Drug Carriers

Advanced Materials Technologies, EarlyView.
We investigate nano‐sized hydrogel drug carriers with tailored hydro‐ and lipophilicity. We design their encapsulation and structure‐forming capabilities and follow them in real time during fabrication using time‐resolved and in situ grazing incidence x‐ray scattering.
Elisabeth Erbes, Naireeta Biswas, Calvin J. Gavillet, Matthias Schwartzkopf, Krishnayan Basuroy, Qing Chen, Andrei Chumakov, Susann Frenzke, Marc Gensch, Korneliya Gordeyeva, Patrycja Kielb, Sonja Kirchner, Volker Körstgens, Peter Müller‐Buschbaum, Henrike M. Müller‐Werkmeister, Jan Rubeck, Sreevidya Thekku Veedu, Jose de Jesus Velazquez‐Garcia, Vivian Waclawek, Daniel Söderberg, Stephan V. Roth, Simone Techert   +21 more
wiley   +1 more source

SemanticNews: Enriching publishing of news stories

, 2014
A central goal for the EPSRC funded Semantic Media Network project is to support interesting collaboration opportunities between researchers in order to foster relationships and encourage working together (EPSRC priority 'Working Together'). SemanticNews
Eggink, Jana, Newman, David, Greenwood, Mark, Peters, Wim, Hare, Jonathon   +4 more
core   +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

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Entity Span Suffix Classification for Nested Chinese Named Entity Recognition

Information
Named entity recognition (NER) is one of the fundamental tasks in building knowledge graphs. For some domain-specific corpora, the text descriptions exhibit limited standardization, and some entity structures have entity nesting.
Jianfeng Deng, Ruitong Zhao, Wei Ye, Suhong Zheng   +3 more
doaj   +1 more source

Arabic named entity recognition

Proces. del Leng. Natural, 2010
Tesis doctoral en Informática realizada por Yassine Benajiba y dirigida por el doctor Paolo Rosso (Univ. Politécnica de Valencia). El acto de defensa de tesis tuvo lugar en Valencia en Mayo de 2009 ante el tribunal formado por los doctores Felisa Verdejo (UNED), Mona Diab (Columbia Univ.), Imed Zitouni (IBM T.J.
openaire   +2 more sources

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source