Results 141 to 150 of about 2,702,605 (333)

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
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

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

OSCAR4: a flexible architecture for chemical text-mining. [PDF]

, 2011
The Open-Source Chemistry Analysis Routines (OSCAR) software, a toolkit for the recognition of named entities and data in chemistry publications, has been developed since 2002.
David M Jessop, Peter Murray-Rust, Lezan Hawizy, Sam E Adams, Murray-rust, Peter, Egon L Willighagen, Adams, Sam E, Jessop, David M, Willighagen, Egon L, Hawizy, Lezan   +9 more
core   +5 more sources

Enriching media fragments with named entities for video classification

, 2013
With the steady increase of videos published on media sharing platforms such as Dailymotion and YouTube, more and more efforts are spent to automatically annotate and organize these videos.
José Luis Redondo García, Wald, Mike, José Luis Redondo, Wills, Gary, Troncy, Raphael, Rizzo, Giuseppe, Raphaël Troncy, Gary Wills, Giuseppe Rizzo, Yunjia Li, Li, Yunjia, Garcia, Jose Luis Redondo, Mike Wald   +12 more
core   +2 more sources

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Enhanced Named Entity Recognition through Joint Dependency Parsing

, 2023
Named entity recognition (NER) is the task of identifying and classifying named entities from texts. NER can benefit from linguistic dependency information, yet existing NER models can only utilize such information on datasets where dependency ...
Wang, Z, Wang, K, Feng, Z, Wang, P, Zhang, X   +4 more
core   +1 more source

Multi-Granularity Feature Fusion for Named Entity Recognition of Classical Chinese Texts from the Perspective of Digital Humanities

Zhishi guanli luntan
[Purpose/Significance] Leveraging Named Entity Recognition (NER) techniques for the thorough exploration of ancient literary documents not only drives forward the digitization of ancient Chinese texts, including the vital process of Ancient text ...
Meng Jiana, Xu Yingao, Zhao Dandan, Li Fengyi, Zhao Di
doaj   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Pattern Mining for Named Entity Recognition [PDF]

, 2014
Many evaluation campaigns have shown that knowledge-based and data-driven approaches remain equally competitive for Named Entity Recognition. Our research team has developed CasEN, a symbolic system based on finite state transducers, which achieved promising results during the Ester2 French-speaking evaluation campaign.
Nouvel, Damien, Antoine, Jean-Yves, Friburger, Nathalie   +2 more
openaire   +2 more sources