The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …

Developing artificial learning systems that can understand and generate natural language
has been one of the long-standing goals of artificial intelligence. Recent decades have …

Standard methods in deep learning for natural language processing fail to capture the
compositional structure of human language that allows for systematic generalization outside …

The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …

This document describes the findings of the Second Workshop on Neural Machine
Translation and Generation, held in concert with the annual conference of the Association …

Latent tree learning (LTL) methods learn to parse sentences using only indirect supervision
from a downstream task. Recent advances in latent tree learning have made it possible to …

With the advent of deep learning, research in many areas of machine learning is converging
towards the same set of methods and models. For example, long short-term memory …

Dependency-based graph convolutional networks (DepGCNs) are proven helpful for text
representation to handle many natural language tasks. Almost all previous models are …