The last two decades have seen a significant amount of interest in bilingual language
learning and processing. A number of computational models have also been developed to …

A significant amount of information in today's world is stored in structured and semi-
structured knowledge bases. Efficient and simple methods to query them are essential and …

The NLP community has seen substantial recent interest in grounding to facilitate interaction
between language technologies and the world. However, as a community, we use the term …

Natural language spatial video grounding aims to detect the relevant objects in video frames
with descriptive sentences as the query. In spite of the great advances, most existing …

There are thousands of actively spoken languages on Earth, but a single visual world.
Grounding in this visual world has the potential to bridge the gap between all these …

Children acquire their native language with apparent ease by observing how language is
used in context and attempting to use it themselves. They do so without laborious …

Abstract We present Grammar-Based Grounded Language Learning (G2L2), a lexicalist
approach toward learning a compositional and grounded meaning representation of …

We demonstrate how a sampling-based robotic planner can be augmented to learn to
understand a sequence of natural language commands in a continuous configuration space …

Semantic parsing is the task of obtaining machine-interpretable representations from natural
language text. We consider one such formal representation-First-Order Logic (FOL) and …

A growing interest in tasks involving language understanding by the NLP community has led
to the need for effective semantic parsing and inference. Modern NLP systems use semantic …