Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297941332> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4297941332 abstract "The vast amount of COVID-19 research literature has made it difficult for medical experts, clinical scientists, and researchers to keep up with the latest research findings. We present two datasets for COVID-19 in this work: (1) first, we create a dataset from the up-to-date scientific publications on COVID-19, and (2) second, we build a gold-standard dataset of question-answering pairs annotated by volunteer biomedical experts on COVID-19 related scientific articles. We develop a question-answering (QA) pipeline that uses the first dataset to provide answers related to COVID-19 questions; we fine-tune MPNet (a Transformer model) on our gold-standard dataset and use it in the QA pipeline to enhance its reading capability. We also use this gold-standard dataset to evaluate the QA pipeline. The proposed MPNet version on the gold-standard dataset outperformed previous datasets and models, achieving an Exact Match/Fl score of 69.72/78.50 %, respectively" @default.
- W4297941332 created "2022-10-01" @default.
- W4297941332 creator A5000542196 @default.
- W4297941332 creator A5053939840 @default.
- W4297941332 creator A5063986560 @default.
- W4297941332 date "2022-06-01" @default.
- W4297941332 modified "2023-09-27" @default.
- W4297941332 title "A Question-Answering System on COVID-19 Scientific Literature" @default.
- W4297941332 cites W2127030454 @default.
- W4297941332 cites W2278131208 @default.
- W4297941332 cites W2285668494 @default.
- W4297941332 cites W2911488506 @default.
- W4297941332 cites W2962815673 @default.
- W4297941332 cites W2963748441 @default.
- W4297941332 cites W3016473145 @default.
- W4297941332 cites W3092419658 @default.
- W4297941332 cites W3100083965 @default.
- W4297941332 cites W3105753785 @default.
- W4297941332 cites W3105966348 @default.
- W4297941332 cites W3108936148 @default.
- W4297941332 cites W3111296862 @default.
- W4297941332 cites W3154065069 @default.
- W4297941332 cites W3158200286 @default.
- W4297941332 cites W3161987470 @default.
- W4297941332 cites W3174995573 @default.
- W4297941332 cites W4252076394 @default.
- W4297941332 cites W4255421341 @default.
- W4297941332 doi "https://doi.org/10.1109/compsac54236.2022.00210" @default.
- W4297941332 hasPublicationYear "2022" @default.
- W4297941332 type Work @default.
- W4297941332 citedByCount "1" @default.
- W4297941332 countsByYear W42979413322023 @default.
- W4297941332 crossrefType "proceedings-article" @default.
- W4297941332 hasAuthorship W4297941332A5000542196 @default.
- W4297941332 hasAuthorship W4297941332A5053939840 @default.
- W4297941332 hasAuthorship W4297941332A5063986560 @default.
- W4297941332 hasConcept C105795698 @default.
- W4297941332 hasConcept C142724271 @default.
- W4297941332 hasConcept C199360897 @default.
- W4297941332 hasConcept C204321447 @default.
- W4297941332 hasConcept C23123220 @default.
- W4297941332 hasConcept C2522767166 @default.
- W4297941332 hasConcept C2779134260 @default.
- W4297941332 hasConcept C3007834351 @default.
- W4297941332 hasConcept C3008058167 @default.
- W4297941332 hasConcept C33923547 @default.
- W4297941332 hasConcept C40993552 @default.
- W4297941332 hasConcept C41008148 @default.
- W4297941332 hasConcept C43521106 @default.
- W4297941332 hasConcept C44291984 @default.
- W4297941332 hasConcept C524204448 @default.
- W4297941332 hasConcept C71924100 @default.
- W4297941332 hasConceptScore W4297941332C105795698 @default.
- W4297941332 hasConceptScore W4297941332C142724271 @default.
- W4297941332 hasConceptScore W4297941332C199360897 @default.
- W4297941332 hasConceptScore W4297941332C204321447 @default.
- W4297941332 hasConceptScore W4297941332C23123220 @default.
- W4297941332 hasConceptScore W4297941332C2522767166 @default.
- W4297941332 hasConceptScore W4297941332C2779134260 @default.
- W4297941332 hasConceptScore W4297941332C3007834351 @default.
- W4297941332 hasConceptScore W4297941332C3008058167 @default.
- W4297941332 hasConceptScore W4297941332C33923547 @default.
- W4297941332 hasConceptScore W4297941332C40993552 @default.
- W4297941332 hasConceptScore W4297941332C41008148 @default.
- W4297941332 hasConceptScore W4297941332C43521106 @default.
- W4297941332 hasConceptScore W4297941332C44291984 @default.
- W4297941332 hasConceptScore W4297941332C524204448 @default.
- W4297941332 hasConceptScore W4297941332C71924100 @default.
- W4297941332 hasLocation W42979413321 @default.
- W4297941332 hasOpenAccess W4297941332 @default.
- W4297941332 hasPrimaryLocation W42979413321 @default.
- W4297941332 hasRelatedWork W128392744 @default.
- W4297941332 hasRelatedWork W1602736231 @default.
- W4297941332 hasRelatedWork W207304934 @default.
- W4297941332 hasRelatedWork W2135033253 @default.
- W4297941332 hasRelatedWork W2233955765 @default.
- W4297941332 hasRelatedWork W2366644548 @default.
- W4297941332 hasRelatedWork W2747680751 @default.
- W4297941332 hasRelatedWork W3161683603 @default.
- W4297941332 hasRelatedWork W3210635025 @default.
- W4297941332 hasRelatedWork W3215259232 @default.
- W4297941332 isParatext "false" @default.
- W4297941332 isRetracted "false" @default.
- W4297941332 workType "article" @default.