论文标题
依赖上下文的语义解析：调查
Context Dependent Semantic Parsing: A Survey
论文作者
论文摘要
语义解析是将自然语言转化为机器可读含义表示形式的任务。当前，大多数语义解析方法无法利用上下文信息（例如对话和评论历史记录），这具有提高语义解析性能的巨大潜力。为了解决这个问题，依赖上下文的语义解析最近引起了很多关注。在本调查中，我们研究了有关上下文依赖性语义解析方法的进度，以及当前的数据集和任务。然后，我们指出了在该领域将来研究的开放问题和挑战。该主题的收集资源可在以下网址获得：https：//github.com/zhuang-li/contextual-semantic-parsing-paper-list。
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.
