AMR Parsing
Each AMR is a single rooted, directed graph. AMRs include PropBank semantic roles, within-sentence coreference, named entities and types, modality, ... ,由 D Xu 著作 · 2020 · 被引用 22 次 — incorporated into the training of an AMR parser. However, the widely used pre-trained models such as ELMO (Peters et al., 2017) and BERT (Devlin. ,由 C Lyu 著作 · 2018 · 被引用 96 次 — Abstract meaning representations (AMRs) are broad-coverage sentence-level semantic representations. AMRs represent sentences as rooted labeled directed acyclic ...,由 S Zhang 著作 · 2019 · 被引用 92 次 — We propose an attention-based model that treats AMR parsing as sequence-to-graph transduction. Unlike most AMR parsers that rely on pre-trained aligners, ... ,由 Q Zhou 著作 · 2020 · 被引用 7 次 — We investigate parsing AMR with explicit dependency structures and interpretable latent structures. We generate the latent soft structure without additional ... ,由 J Zhou 著作 · 2021 · 被引用 6 次 — Abstract Meaning Representation parsing is a sentence-to-graph prediction task where target nodes are not explicitly aligned to sentence tokens. ,由 J Opitz 著作 · 2019 · 被引用 5 次 — AMR parsing converts natural language sentences into such graphs. However, evaluating a parser on new data by means of comparison to manually created AMR ... ,由 D Cai 著作 · 2019 · 被引用 21 次 — We introduce a novel scheme for parsing a piece of text into its Abstract Meaning Representation (AMR): Graph Spanning based Parsing (GSP). ,Neural transition-based parser for Abstract Meaning Representation (AMR) producing state-of-the-art AMR parsing and reliable token to node alignments. ,由 J Zhou 著作 · 2021 · 被引用 7 次 — Abstract: Abstract Meaning Representation parsing is a sentence-to-graph prediction task where target nodes are not explicitly aligned to ...
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AMR Parsing 相關參考資料
AMR Parsing | Papers With Code
Each AMR is a single rooted, directed graph. AMRs include PropBank semantic roles, within-sentence coreference, named entities and types, modality, ... https://paperswithcode.com Improving AMR Parsing with Sequence-to-Sequence Pre ...
由 D Xu 著作 · 2020 · 被引用 22 次 — incorporated into the training of an AMR parser. However, the widely used pre-trained models such as ELMO (Peters et al., 2017) and BERT (Devlin. https://www.aclweb.org AMR Parsing as Graph Prediction with Latent Alignment - ACL ...
由 C Lyu 著作 · 2018 · 被引用 96 次 — Abstract meaning representations (AMRs) are broad-coverage sentence-level semantic representations. AMRs represent sentences as rooted labeled directed acyclic ... https://aclanthology.org AMR Parsing as Sequence-to-Graph Transduction - ACL ...
由 S Zhang 著作 · 2019 · 被引用 92 次 — We propose an attention-based model that treats AMR parsing as sequence-to-graph transduction. Unlike most AMR parsers that rely on pre-trained aligners, ... https://aclanthology.org AMR Parsing with Latent Structural Information - ACL Anthology
由 Q Zhou 著作 · 2020 · 被引用 7 次 — We investigate parsing AMR with explicit dependency structures and interpretable latent structures. We generate the latent soft structure without additional ... https://aclanthology.org AMR Parsing with Action-Pointer Transformer - ACL Anthology
由 J Zhou 著作 · 2021 · 被引用 6 次 — Abstract Meaning Representation parsing is a sentence-to-graph prediction task where target nodes are not explicitly aligned to sentence tokens. https://aclanthology.org Automatic Accuracy Prediction for AMR Parsing - ACL Anthology
由 J Opitz 著作 · 2019 · 被引用 5 次 — AMR parsing converts natural language sentences into such graphs. However, evaluating a parser on new data by means of comparison to manually created AMR ... https://aclanthology.org Core Semantic First: A Top-down Approach for AMR Parsing
由 D Cai 著作 · 2019 · 被引用 21 次 — We introduce a novel scheme for parsing a piece of text into its Abstract Meaning Representation (AMR): Graph Spanning based Parsing (GSP). https://aclanthology.org IBMtransition-amr-parser: Transition-based parser for Abstract
Neural transition-based parser for Abstract Meaning Representation (AMR) producing state-of-the-art AMR parsing and reliable token to node alignments. https://github.com [2104.14674] AMR Parsing with Action-Pointer Transformer
由 J Zhou 著作 · 2021 · 被引用 7 次 — Abstract: Abstract Meaning Representation parsing is a sentence-to-graph prediction task where target nodes are not explicitly aligned to ... https://arxiv.org |