Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288059323> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4288059323 endingPage "761" @default.
- W4288059323 startingPage "756" @default.
- W4288059323 abstract "Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate summary scoring by evaluating a corpus of approximately 5,000 summaries based on 103 source texts, each summary being scored on a 4-point Likert scale for seven different evaluation criteria. We train and evaluate a series of Machine Learning models that use a combination of independent textual complexity indices from the ReaderBench framework and Deep Learning models based on the Transformer architecture in a multitask setup to predict concurrently all criteria. Our models achieve significantly lower errors than previous work using a similar dataset, with MAE ranging from 0.10–0.16 and corresponding R2 values of up to 0.64. Our findings indicate that Longformer-based [1] models are adequate for contextualizing longer text sequences and effectively scoring summaries according to a variety of human-defined evaluation criteria using a single Neural Network." @default.
- W4288059323 created "2022-07-28" @default.
- W4288059323 creator A5017550271 @default.
- W4288059323 creator A5028338673 @default.
- W4288059323 creator A5034122103 @default.
- W4288059323 creator A5072192995 @default.
- W4288059323 creator A5081661094 @default.
- W4288059323 date "2022-01-01" @default.
- W4288059323 modified "2023-09-23" @default.
- W4288059323 title "Multitask Summary Scoring with Longformers" @default.
- W4288059323 cites W1636140081 @default.
- W4288059323 cites W1977747299 @default.
- W4288059323 cites W2034089873 @default.
- W4288059323 cites W2037209597 @default.
- W4288059323 cites W2149698614 @default.
- W4288059323 cites W3178483395 @default.
- W4288059323 doi "https://doi.org/10.1007/978-3-031-11644-5_79" @default.
- W4288059323 hasPublicationYear "2022" @default.
- W4288059323 type Work @default.
- W4288059323 citedByCount "2" @default.
- W4288059323 countsByYear W42880593232023 @default.
- W4288059323 crossrefType "book-chapter" @default.
- W4288059323 hasAuthorship W4288059323A5017550271 @default.
- W4288059323 hasAuthorship W4288059323A5028338673 @default.
- W4288059323 hasAuthorship W4288059323A5034122103 @default.
- W4288059323 hasAuthorship W4288059323A5072192995 @default.
- W4288059323 hasAuthorship W4288059323A5081661094 @default.
- W4288059323 hasConcept C119857082 @default.
- W4288059323 hasConcept C121332964 @default.
- W4288059323 hasConcept C154945302 @default.
- W4288059323 hasConcept C162324750 @default.
- W4288059323 hasConcept C165801399 @default.
- W4288059323 hasConcept C187736073 @default.
- W4288059323 hasConcept C204321447 @default.
- W4288059323 hasConcept C2780451532 @default.
- W4288059323 hasConcept C41008148 @default.
- W4288059323 hasConcept C50644808 @default.
- W4288059323 hasConcept C62520636 @default.
- W4288059323 hasConcept C66322947 @default.
- W4288059323 hasConceptScore W4288059323C119857082 @default.
- W4288059323 hasConceptScore W4288059323C121332964 @default.
- W4288059323 hasConceptScore W4288059323C154945302 @default.
- W4288059323 hasConceptScore W4288059323C162324750 @default.
- W4288059323 hasConceptScore W4288059323C165801399 @default.
- W4288059323 hasConceptScore W4288059323C187736073 @default.
- W4288059323 hasConceptScore W4288059323C204321447 @default.
- W4288059323 hasConceptScore W4288059323C2780451532 @default.
- W4288059323 hasConceptScore W4288059323C41008148 @default.
- W4288059323 hasConceptScore W4288059323C50644808 @default.
- W4288059323 hasConceptScore W4288059323C62520636 @default.
- W4288059323 hasConceptScore W4288059323C66322947 @default.
- W4288059323 hasLocation W42880593231 @default.
- W4288059323 hasOpenAccess W4288059323 @default.
- W4288059323 hasPrimaryLocation W42880593231 @default.
- W4288059323 hasRelatedWork W2081647779 @default.
- W4288059323 hasRelatedWork W2611614995 @default.
- W4288059323 hasRelatedWork W2961085424 @default.
- W4288059323 hasRelatedWork W3185852197 @default.
- W4288059323 hasRelatedWork W4285260836 @default.
- W4288059323 hasRelatedWork W4286629047 @default.
- W4288059323 hasRelatedWork W4306321456 @default.
- W4288059323 hasRelatedWork W4306674287 @default.
- W4288059323 hasRelatedWork W1629725936 @default.
- W4288059323 hasRelatedWork W4224009465 @default.
- W4288059323 isParatext "false" @default.
- W4288059323 isRetracted "false" @default.
- W4288059323 workType "book-chapter" @default.