Results 121 to 130 of about 2,584,993 (291)

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

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

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

Named Entity Recognition with Bidirectional LSTM-CNNs

Transactions of the Association for Computational Linguistics, 2021
Jason P.C. Chiu, Eric Nichols
doaj   +1 more source

CodeNER: Code Prompting for Named Entity Recognition

IEEE Access
Recent studies have explored various approaches for treating candidate named entity spans as both source and target sequences in named entity recognition (NER) by leveraging large language models (LLMs).
Sungwoo Han, Hyeyeon Kim, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura   +4 more
doaj   +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

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