Matches in SemOpenAlex for { <https://semopenalex.org/work/W3094024085> ?p ?o ?g. }
- W3094024085 abstract "A challenge for named entity disambiguation (NED), the task of mapping textual mentions to entities in a knowledge base, is how to disambiguate entities that appear rarely in the training data, termed tail entities. Humans use subtle reasoning patterns based on knowledge of entity facts, relations, and types to disambiguate unfamiliar entities. Inspired by these patterns, we introduce Bootleg, a self-supervised NED system that is explicitly grounded in reasoning patterns for disambiguation. We define core reasoning patterns for disambiguation, create a learning procedure to encourage the self-supervised model to learn the patterns, and show how to use weak supervision to enhance the signals in the training data. Encoding the reasoning patterns in a simple Transformer architecture, Bootleg meets or exceeds state-of-the-art on three NED benchmarks. We further show that the learned representations from Bootleg successfully transfer to other non-disambiguation tasks that require entity-based knowledge: we set a new state-of-the-art in the popular TACRED relation extraction task by 1.0 F1 points and demonstrate up to 8% performance lift in highly optimized production search and assistant tasks at a major technology company" @default.
- W3094024085 created "2020-10-29" @default.
- W3094024085 creator A5011629374 @default.
- W3094024085 creator A5013698287 @default.
- W3094024085 creator A5033975637 @default.
- W3094024085 creator A5054285881 @default.
- W3094024085 creator A5055978130 @default.
- W3094024085 creator A5068178240 @default.
- W3094024085 creator A5070267604 @default.
- W3094024085 date "2020-10-20" @default.
- W3094024085 modified "2023-09-26" @default.
- W3094024085 title "Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation" @default.
- W3094024085 cites W109317495 @default.
- W3094024085 cites W11298561 @default.
- W3094024085 cites W1541691357 @default.
- W3094024085 cites W1713614699 @default.
- W3094024085 cites W2002213160 @default.
- W3094024085 cites W2121209318 @default.
- W3094024085 cites W2123958332 @default.
- W3094024085 cites W2145386458 @default.
- W3094024085 cites W2162362997 @default.
- W3094024085 cites W2252061787 @default.
- W3094024085 cites W2295227292 @default.
- W3094024085 cites W2757369719 @default.
- W3094024085 cites W2759211898 @default.
- W3094024085 cites W2769041395 @default.
- W3094024085 cites W2775747321 @default.
- W3094024085 cites W2798649495 @default.
- W3094024085 cites W2852336278 @default.
- W3094024085 cites W2857028992 @default.
- W3094024085 cites W2888328726 @default.
- W3094024085 cites W2897059942 @default.
- W3094024085 cites W2912558362 @default.
- W3094024085 cites W2912924812 @default.
- W3094024085 cites W2926257912 @default.
- W3094024085 cites W2951525155 @default.
- W3094024085 cites W2952095478 @default.
- W3094024085 cites W2953356739 @default.
- W3094024085 cites W2962753370 @default.
- W3094024085 cites W2963198001 @default.
- W3094024085 cites W2963403868 @default.
- W3094024085 cites W2963612171 @default.
- W3094024085 cites W2964075320 @default.
- W3094024085 cites W2964121744 @default.
- W3094024085 cites W2964308564 @default.
- W3094024085 cites W2964351784 @default.
- W3094024085 cites W2968257571 @default.
- W3094024085 cites W2970986510 @default.
- W3094024085 cites W2971810142 @default.
- W3094024085 cites W2984147501 @default.
- W3094024085 cites W2986266667 @default.
- W3094024085 cites W2997110185 @default.
- W3094024085 cites W2997303394 @default.
- W3094024085 cites W3021191241 @default.
- W3094024085 cites W3030163527 @default.
- W3094024085 cites W3034675880 @default.
- W3094024085 cites W3034891697 @default.
- W3094024085 cites W3081552905 @default.
- W3094024085 cites W3100754494 @default.
- W3094024085 cites W3119164154 @default.
- W3094024085 cites W3169283738 @default.
- W3094024085 cites W638568100 @default.
- W3094024085 cites W86887328 @default.
- W3094024085 cites W2897725449 @default.
- W3094024085 doi "https://doi.org/10.48550/arxiv.2010.10363" @default.
- W3094024085 hasPublicationYear "2020" @default.
- W3094024085 type Work @default.
- W3094024085 sameAs 3094024085 @default.
- W3094024085 citedByCount "9" @default.
- W3094024085 countsByYear W30940240852020 @default.
- W3094024085 countsByYear W30940240852021 @default.
- W3094024085 crossrefType "posted-content" @default.
- W3094024085 hasAuthorship W3094024085A5011629374 @default.
- W3094024085 hasAuthorship W3094024085A5013698287 @default.
- W3094024085 hasAuthorship W3094024085A5033975637 @default.
- W3094024085 hasAuthorship W3094024085A5054285881 @default.
- W3094024085 hasAuthorship W3094024085A5055978130 @default.
- W3094024085 hasAuthorship W3094024085A5068178240 @default.
- W3094024085 hasAuthorship W3094024085A5070267604 @default.
- W3094024085 hasBestOaLocation W30940240851 @default.
- W3094024085 hasConcept C119857082 @default.
- W3094024085 hasConcept C121332964 @default.
- W3094024085 hasConcept C139002025 @default.
- W3094024085 hasConcept C153604712 @default.
- W3094024085 hasConcept C154945302 @default.
- W3094024085 hasConcept C162324750 @default.
- W3094024085 hasConcept C165801399 @default.
- W3094024085 hasConcept C177264268 @default.
- W3094024085 hasConcept C187736073 @default.
- W3094024085 hasConcept C195807954 @default.
- W3094024085 hasConcept C199360897 @default.
- W3094024085 hasConcept C204321447 @default.
- W3094024085 hasConcept C2779135771 @default.
- W3094024085 hasConcept C2780451532 @default.
- W3094024085 hasConcept C41008148 @default.
- W3094024085 hasConcept C4554734 @default.
- W3094024085 hasConcept C62520636 @default.
- W3094024085 hasConcept C66322947 @default.
- W3094024085 hasConcept C96711827 @default.
- W3094024085 hasConceptScore W3094024085C119857082 @default.