The ability of graph neural networks (GNNs) to count certain graph
subst...
Using graph neural networks (GNNs) to approximate specific functions suc...
Constituent and dependency parsing, the two classic forms of syntactic
p...
Understanding human language is one of the key themes of artificial
inte...
For natural language understanding tasks, either machine reading
compreh...
The latest developments in neural semantic role labeling (SRL), includin...
In this paper, we present a Linguistic Informed Multi-Task BERT (LIMIT-B...
Both syntactic and semantic structures are key linguistic contextual clu...
Constituent and dependency representation for syntactic structure share ...
For machine reading comprehension, how to effectively model the linguist...
Head-driven phrase structure grammar (HPSG) enjoys a uniform formalism
r...