Matches in SemOpenAlex for { <https://semopenalex.org/work/W3102287766> ?p ?o ?g. }
- W3102287766 abstract "Missing sentence generation (or sentence infilling) fosters a wide range of applications in natural language generation, such as document auto-completion and meeting note expansion. This task asks the model to generate intermediate missing sentences that can syntactically and semantically bridge the surrounding context. Solving the sentence infilling task requires techniques in natural language processing ranging from understanding to discourse-level planning to generation. In this paper, we propose a framework to decouple the challenge and address these three aspects respectively, leveraging the power of existing large-scale pre-trained models such as BERT and GPT-2. We empirically demonstrate the effectiveness of our model in learning a sentence representation for generation and further generating a missing sentence that fits the context." @default.
- W3102287766 created "2020-11-23" @default.
- W3102287766 creator A5007472986 @default.
- W3102287766 creator A5026746295 @default.
- W3102287766 creator A5050614690 @default.
- W3102287766 creator A5081872106 @default.
- W3102287766 date "2020-01-01" @default.
- W3102287766 modified "2023-09-23" @default.
- W3102287766 title "INSET: Sentence Infilling with INter-SEntential Transformer" @default.
- W3102287766 cites W1518951372 @default.
- W3102287766 cites W1521626219 @default.
- W3102287766 cites W1591706642 @default.
- W3102287766 cites W1999965501 @default.
- W3102287766 cites W2025768430 @default.
- W3102287766 cites W2078861931 @default.
- W3102287766 cites W2101105183 @default.
- W3102287766 cites W2115613106 @default.
- W3102287766 cites W2133512280 @default.
- W3102287766 cites W2160409620 @default.
- W3102287766 cites W2470673105 @default.
- W3102287766 cites W2508661145 @default.
- W3102287766 cites W2557508245 @default.
- W3102287766 cites W2888975690 @default.
- W3102287766 cites W2890969459 @default.
- W3102287766 cites W2921065408 @default.
- W3102287766 cites W2944815030 @default.
- W3102287766 cites W2951176429 @default.
- W3102287766 cites W2962754271 @default.
- W3102287766 cites W2962821399 @default.
- W3102287766 cites W2963026768 @default.
- W3102287766 cites W2963206148 @default.
- W3102287766 cites W2963325985 @default.
- W3102287766 cites W2963341956 @default.
- W3102287766 cites W2963403868 @default.
- W3102287766 cites W2963614567 @default.
- W3102287766 cites W2970401203 @default.
- W3102287766 cites W2970597249 @default.
- W3102287766 cites W2971347700 @default.
- W3102287766 cites W2973049837 @default.
- W3102287766 cites W2981461746 @default.
- W3102287766 cites W2981852735 @default.
- W3102287766 cites W2982399380 @default.
- W3102287766 cites W2983255373 @default.
- W3102287766 cites W2988937804 @default.
- W3102287766 cites W2995643077 @default.
- W3102287766 cites W2996287690 @default.
- W3102287766 cites W2998106530 @default.
- W3102287766 cites W3004437686 @default.
- W3102287766 cites W3004621150 @default.
- W3102287766 cites W3011411500 @default.
- W3102287766 cites W3021534166 @default.
- W3102287766 cites W3024131638 @default.
- W3102287766 cites W3082274269 @default.
- W3102287766 cites W3098708719 @default.
- W3102287766 cites W3103753836 @default.
- W3102287766 cites W3104802318 @default.
- W3102287766 doi "https://doi.org/10.18653/v1/2020.acl-main.226" @default.
- W3102287766 hasPublicationYear "2020" @default.
- W3102287766 type Work @default.
- W3102287766 sameAs 3102287766 @default.
- W3102287766 citedByCount "19" @default.
- W3102287766 countsByYear W31022877662020 @default.
- W3102287766 countsByYear W31022877662021 @default.
- W3102287766 countsByYear W31022877662022 @default.
- W3102287766 crossrefType "proceedings-article" @default.
- W3102287766 hasAuthorship W3102287766A5007472986 @default.
- W3102287766 hasAuthorship W3102287766A5026746295 @default.
- W3102287766 hasAuthorship W3102287766A5050614690 @default.
- W3102287766 hasAuthorship W3102287766A5081872106 @default.
- W3102287766 hasBestOaLocation W31022877661 @default.
- W3102287766 hasConcept C121332964 @default.
- W3102287766 hasConcept C151730666 @default.
- W3102287766 hasConcept C154945302 @default.
- W3102287766 hasConcept C162324750 @default.
- W3102287766 hasConcept C165801399 @default.
- W3102287766 hasConcept C17744445 @default.
- W3102287766 hasConcept C187736073 @default.
- W3102287766 hasConcept C195324797 @default.
- W3102287766 hasConcept C199539241 @default.
- W3102287766 hasConcept C204321447 @default.
- W3102287766 hasConcept C2776359362 @default.
- W3102287766 hasConcept C2777530160 @default.
- W3102287766 hasConcept C2779343474 @default.
- W3102287766 hasConcept C2779439875 @default.
- W3102287766 hasConcept C2780451532 @default.
- W3102287766 hasConcept C41008148 @default.
- W3102287766 hasConcept C62520636 @default.
- W3102287766 hasConcept C66322947 @default.
- W3102287766 hasConcept C86803240 @default.
- W3102287766 hasConcept C94625758 @default.
- W3102287766 hasConceptScore W3102287766C121332964 @default.
- W3102287766 hasConceptScore W3102287766C151730666 @default.
- W3102287766 hasConceptScore W3102287766C154945302 @default.
- W3102287766 hasConceptScore W3102287766C162324750 @default.
- W3102287766 hasConceptScore W3102287766C165801399 @default.
- W3102287766 hasConceptScore W3102287766C17744445 @default.
- W3102287766 hasConceptScore W3102287766C187736073 @default.
- W3102287766 hasConceptScore W3102287766C195324797 @default.
- W3102287766 hasConceptScore W3102287766C199539241 @default.
- W3102287766 hasConceptScore W3102287766C204321447 @default.