There has been a growing interest in developing multimodal machine
trans...
Transition-based parsers for Abstract Meaning Representation (AMR) rely ...
Predicting linearized Abstract Meaning Representation (AMR) graphs using...
Researchers are increasingly focusing on intelligent games as a hot rese...
Abstract Meaning Representation parsing is a sentence-to-graph predictio...
We introduce GEM, a living benchmark for natural language Generation (NL...
A central issue of many statistical learning problems is to select an
ap...
Non-autoregressive (NAR) neural machine translation is usually done via
...
Botnets are now a major source for many network attacks, such as DDoS at...
Graph neural networks (GNNs) are a powerful tool to learn representation...
We propose an unsupervised method for sentence summarization using only
...