  Semantic parsing is the task of translating natural language utterances into
machine-readable meaning representations. Currently, most semantic parsing
methods are not able to utilize contextual information (e.g. dialogue and
comments history), which has a great potential to boost semantic parsing
performance. To address this issue, context dependent semantic parsing has
recently drawn a lot of attention. In this survey, we investigate progress on
the methods for the context dependent semantic parsing, together with the
current datasets and tasks. We then point out open problems and challenges for
future research in this area. The collected resources for this topic are
available
at:https://github.com/zhuang-li/Contextual-Semantic-Parsing-Paper-List.
