Coreference Resolution is a fundamental natural language processing (NLP) problem, as it attempts to resolve which underlying discourse objects refer to one another. Further, it …
Reusing knowledge allows intelligent systems to learn solutions to complex tasks more quicker by avoiding re-learning the components of the solution from scratch. Recent advances …
Future collaborative robots must be capable of finding objects. As such a fundamental skill, we expect object search to eventually become an off-the-shelf capability for …
Object search is a central problem for human-robot interaction, as finding, localizing, and then grasping an object is a first step for almost anything a …
Large pre-trained transformer-based language models (PTLMs) have recently dominated the state-of-the-art in Information Retrieval tasks such as web search and question answering. Despite the advantages …
In this work, I present an implemented model that can learn interactively from natural language, enabling non-expert human trainers to convey complex tasks to machines …
Social norms are universally present in human societies. They play an indispensable role in guiding our everyday social behaviors and facilitating coordination among group members. …