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Found 4 papers, 0 papers with code
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport
We study a new problem of cross-lingual transfer learning for event coreference resolution (ECR) where models trained on data from a source language are adapted for evaluations in different target languages.
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution
In addition, consistency constraints between golden and predicted clusters of event mentions have not been considered to improve representation learning in prior deep learning models for ECR.
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction
However, this model does not capture the representations for the nodes in the graphs, thus preventing it from effectively encoding the specific and relevant information of the nodes for DRE.
Document-level Relation Extraction
Representation Learning
+1
Alternative Renormalizable Minimal SO(10) GUTs and Data Fitting
The best fit point is obtained with large pulls for $m_c$, $m_s$, $m_b$, and $m_\tau$.
High Energy Physics - Phenomenology
