FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2950659199> ?p ?o ?g. }

• W2950659199 endingPage "411" @default.
• W2950659199 startingPage "398" @default.
• W2950659199 abstract "Scientific Named Entity Referent Extraction is often more complicated than traditional Named Entity Recognition (NER). For example, in polymer science, chemical structure may be encoded in a variety of nonstandard naming conventions, and authors may refer to polymers with conventional names, commonly used names, labels (in lieu of longer names), synonyms, and acronyms. As a result, accurate scientific NER methods are often based on task-specific rules, which are difficult to develop and maintain, and are not easily generalized to other tasks and fields. Machine learning models require substantial expert-annotated data for training. Here we propose polyNER: a semi-automated system for efficient identification of scientific entities in text. PolyNER applies word embedding models to generate entity-rich corpora for productive expert labeling, and then uses the resulting labeled data to bootstrap a context-based word vector classifier. Evaluation on materials science publications shows that the polyNER approach enables improved precision or recall relative to a state-of-the-art chemical entity extraction system at a dramatically lower cost: it required just two hours of expert time, rather than extensive and expensive rule engineering, to achieve that result. This result highlights the potential for human-computer partnership for constructing domain-specific scientific NER systems." @default.
• W2950659199 created "2019-06-27" @default.
• W2950659199 creator A5003276517 @default.
• W2950659199 creator A5005951766 @default.
• W2950659199 creator A5008568853 @default.
• W2950659199 creator A5021403239 @default.
• W2950659199 creator A5032231503 @default.
• W2950659199 creator A5033423239 @default.
• W2950659199 creator A5048698394 @default.
• W2950659199 creator A5053981261 @default.
• W2950659199 creator A5065464552 @default.
• W2950659199 creator A5080703148 @default.
• W2950659199 date "2019-01-01" @default.
• W2950659199 modified "2023-10-16" @default.
• W2950659199 title "Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort" @default.
• W2950659199 cites W1675707653 @default.
• W2950659199 cites W1991154713 @default.
• W2950659199 cites W1998523535 @default.
• W2950659199 cites W2001818158 @default.
• W2950659199 cites W2005422315 @default.
• W2950659199 cites W2020278455 @default.
• W2950659199 cites W2043701535 @default.
• W2950659199 cites W2047782770 @default.
• W2950659199 cites W2052569640 @default.
• W2950659199 cites W2070808142 @default.
• W2950659199 cites W2079299255 @default.
• W2950659199 cites W2101553882 @default.
• W2950659199 cites W2123442489 @default.
• W2950659199 cites W2143430537 @default.
• W2950659199 cites W2145870108 @default.
• W2950659199 cites W2150252713 @default.
• W2950659199 cites W2165671627 @default.
• W2950659199 cites W2168905447 @default.
• W2950659199 cites W2169491861 @default.
• W2950659199 cites W2252147815 @default.
• W2950659199 cites W2277195237 @default.
• W2950659199 cites W2472949835 @default.
• W2950659199 cites W2493916176 @default.
• W2950659199 cites W2523785361 @default.
• W2950659199 cites W2754122850 @default.
• W2950659199 cites W2769151956 @default.
• W2950659199 cites W2962739339 @default.
• W2950659199 cites W2963626623 @default.
• W2950659199 cites W4206723194 @default.
• W2950659199 cites W4229676341 @default.
• W2950659199 cites W4245267204 @default.
• W2950659199 doi "https://doi.org/10.1007/978-3-030-22734-0_29" @default.
• W2950659199 hasPublicationYear "2019" @default.
• W2950659199 type Work @default.
• W2950659199 sameAs 2950659199 @default.
• W2950659199 citedByCount "10" @default.
• W2950659199 countsByYear W29506591992019 @default.
• W2950659199 countsByYear W29506591992020 @default.
• W2950659199 countsByYear W29506591992021 @default.
• W2950659199 countsByYear W29506591992022 @default.
• W2950659199 countsByYear W29506591992023 @default.
• W2950659199 crossrefType "book-chapter" @default.
• W2950659199 hasAuthorship W2950659199A5003276517 @default.
• W2950659199 hasAuthorship W2950659199A5005951766 @default.
• W2950659199 hasAuthorship W2950659199A5008568853 @default.
• W2950659199 hasAuthorship W2950659199A5021403239 @default.
• W2950659199 hasAuthorship W2950659199A5032231503 @default.
• W2950659199 hasAuthorship W2950659199A5033423239 @default.
• W2950659199 hasAuthorship W2950659199A5048698394 @default.
• W2950659199 hasAuthorship W2950659199A5053981261 @default.
• W2950659199 hasAuthorship W2950659199A5065464552 @default.
• W2950659199 hasAuthorship W2950659199A5080703148 @default.
• W2950659199 hasBestOaLocation W29506591992 @default.
• W2950659199 hasConcept C121332964 @default.
• W2950659199 hasConcept C153294291 @default.
• W2950659199 hasConcept C154945302 @default.
• W2950659199 hasConcept C162324750 @default.
• W2950659199 hasConcept C187736073 @default.
• W2950659199 hasConcept C23123220 @default.
• W2950659199 hasConcept C2777211547 @default.
• W2950659199 hasConcept C2779135771 @default.
• W2950659199 hasConcept C2780451532 @default.
• W2950659199 hasConcept C41008148 @default.
• W2950659199 hasConcept C51632099 @default.
• W2950659199 hasConceptScore W2950659199C121332964 @default.
• W2950659199 hasConceptScore W2950659199C153294291 @default.
• W2950659199 hasConceptScore W2950659199C154945302 @default.
• W2950659199 hasConceptScore W2950659199C162324750 @default.
• W2950659199 hasConceptScore W2950659199C187736073 @default.
• W2950659199 hasConceptScore W2950659199C23123220 @default.
• W2950659199 hasConceptScore W2950659199C2777211547 @default.
• W2950659199 hasConceptScore W2950659199C2779135771 @default.
• W2950659199 hasConceptScore W2950659199C2780451532 @default.
• W2950659199 hasConceptScore W2950659199C41008148 @default.
• W2950659199 hasConceptScore W2950659199C51632099 @default.
• W2950659199 hasLocation W29506591991 @default.
• W2950659199 hasLocation W29506591992 @default.
• W2950659199 hasOpenAccess W2950659199 @default.
• W2950659199 hasPrimaryLocation W29506591991 @default.
• W2950659199 hasRelatedWork W1551179054 @default.
• W2950659199 hasRelatedWork W156843572 @default.
• W2950659199 hasRelatedWork W2101955803 @default.
• W2950659199 hasRelatedWork W2144190808 @default.

• next