GATE: graph attention transformer encoder for cross-lingual relation and event extraction
Recent progress in cross-lingual relation and event extraction use graph convolutional
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …
GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
WU Ahmad, N Peng, KW Chang - arXiv preprint arXiv:2010.03009, 2020 - arxiv.org
Recent progress in cross-lingual relation and event extraction use graph convolutional
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …
[PDF][PDF] GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
WU Ahmad, N Peng, KW Chang - researchgate.net
Prevalent approaches in cross-lingual relation and event extraction use graph convolutional
networks (GCNs) with universal dependency parses to learn language-agnostic …
networks (GCNs) with universal dependency parses to learn language-agnostic …
[PDF][PDF] GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
WU Ahmad, N Peng, KW Chang - 2021 - cdn.aaai.org
Recent progress in cross-lingual relation and event extraction use graph convolutional
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …
[PDF][PDF] GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
WU Ahmad, N Peng, KW Chang - 2021 - scholar.archive.org
Recent progress in cross-lingual relation and event extraction use graph convolutional
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …