  Effective verbal communication is crucial in human-robot collaboration. When
a robot helps its human partner to complete a task with verbal instructions,
referring expressions are commonly employed during the interaction. Despite
many studies on generating referring expressions, crucial open challenges still
remain for effective interaction. In this work, we discuss some of these
challenges (i.e., using contextual information, taking users' perspectives, and
handling misinterpretations in an autonomous manner).
