Results 61 to 70 of about 321,295 (333)
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
, 2016 The state-of-the-art named entity recognition (NER) systems are statistical machine learning models that have strong generalization capability (i.e., can recognize unseen entities that do not appear in training data) based on lexical and contextual ...
Florian, Radu, Ni, Jian
core +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Mixup Based Cross-Consistency Training for Named Entity Recognition [PDF]
, 2022 Geonsik Youn +4 more
openalex +1 more source
Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production
Advanced Functional Materials, EarlyView.Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen +4 more
wiley +1 more source
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss
Transactions of the Association for Computational Linguistics, 2021 We study learning named entity recognizers in the presence of missing entity annotations. We approach this setting as tagging with latent variables and propose a novel loss, the Expected Entity Ratio, to learn models in the presence of systematically ...
Thomas Effland, Michael Collins
doaj +1 more source
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective [PDF]
, 2022 Xiao Wang +8 more
openalex +1 more source
The multilingual named entity recognition framework [PDF]
Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - EACL '03, 2003 This paper presents a multilingual system designed to recognize named entities in a wide variety of languages (currently more than 12 languages are concerned). The system includes original strategies to deal with a wide variety of encoding character sets, analysis strategies and algorithms to process these languages.
openaire +2 more sources
Reevaluating the Activity of ZIF‐8 Based FeNCs for Electrochemical Ammonia Production
Advanced Functional Materials, EarlyView.Though receiving much attention, the field of electrochemical nitrogen reduction reaction (eNRR) to ammonia is marked by doubts about whether this reaction is possible in aqueous media. This work sheds light on this question for iron single‐atom on N‐doped carbon (FeNC) catalysts—a class of well‐known catalysts that is also worth testing for the sister
Caroline Schneider +6 more
wiley +1 more source
The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages [PDF]
, 2022 Manuel A. Fokam, Beukman, Michael
openalex +1 more source
Advanced Functional Materials, EarlyView.We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj +21 more
wiley +1 more source