#amrparsing search results
...And our third paper at #ACL2023 on AMR parsing and cross-lingual alignment by "paying attention to cross-attention"! arxiv.org/abs/2206.07587 @CarlosMalaga26, @PereLluisHC, @RNavigli #NLProc #AMRParsing @knowgraphs #ACL2023NLP
📄 Paper: arxiv.org/abs/2206.07587 🚀 Github: github.com/Babelscape/AMR… #AMRParsing #ACL2023
📄 Paper: arxiv.org/abs/2306.13467 🚀 Github: github.com/SapienzaNLP/Le… #AMRParsing #ACL2023NLP #ResearchPaper 🧵5/5
github.com
GitHub - SapienzaNLP/LeakDistill
Contribute to SapienzaNLP/LeakDistill development by creating an account on GitHub.
📄 Paper: arxiv.org/abs/2306.10786 🚀 Github: github.com/Babelscape/AMR… #ACL2023 #AMRParsing 🧵5/5
🔍 Our paper explores how to enhance AMR parsing by incorporating graph information into Transformer-based models. #AMRParsing #Transformer 🧵2/5
🤖 Our methods provide new insights for enhancing AMR parsers and metrics, ensuring the production of higher-quality AMR graphs. The code for our ensemble strategies is available at GitHub: github.com/Babelscape/AMR… #AMRParsing #EnsembleMethods #CodeAvailable🧵4/5
🧨 Furthermore, we propose two novel ensemble strategies based on Transformer models to address the challenges in AMR Ensembling. These strategies improve robustness to structural constraints while reducing computational time. #EnsembleModels #AMRParsing #Transformer 🧵3/5
📄 Paper: arxiv.org/abs/2206.07587 🚀 Github: github.com/Babelscape/AMR… #AMRParsing #ACL2023
...And our third paper at #ACL2023 on AMR parsing and cross-lingual alignment by "paying attention to cross-attention"! arxiv.org/abs/2206.07587 @CarlosMalaga26, @PereLluisHC, @RNavigli #NLProc #AMRParsing @knowgraphs #ACL2023NLP
📄 Paper: arxiv.org/abs/2306.13467 🚀 Github: github.com/SapienzaNLP/Le… #AMRParsing #ACL2023NLP #ResearchPaper 🧵5/5
github.com
GitHub - SapienzaNLP/LeakDistill
Contribute to SapienzaNLP/LeakDistill development by creating an account on GitHub.
🔍 Our paper explores how to enhance AMR parsing by incorporating graph information into Transformer-based models. #AMRParsing #Transformer 🧵2/5
📄 Paper: arxiv.org/abs/2306.10786 🚀 Github: github.com/Babelscape/AMR… #ACL2023 #AMRParsing 🧵5/5
🤖 Our methods provide new insights for enhancing AMR parsers and metrics, ensuring the production of higher-quality AMR graphs. The code for our ensemble strategies is available at GitHub: github.com/Babelscape/AMR… #AMRParsing #EnsembleMethods #CodeAvailable🧵4/5
🧨 Furthermore, we propose two novel ensemble strategies based on Transformer models to address the challenges in AMR Ensembling. These strategies improve robustness to structural constraints while reducing computational time. #EnsembleModels #AMRParsing #Transformer 🧵3/5
...And our third paper at #ACL2023 on AMR parsing and cross-lingual alignment by "paying attention to cross-attention"! arxiv.org/abs/2206.07587 @CarlosMalaga26, @PereLluisHC, @RNavigli #NLProc #AMRParsing @knowgraphs #ACL2023NLP
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