论文标题
关于话语表示结构解析的第一个共享任务
The First Shared Task on Discourse Representation Structure Parsing
论文作者
论文摘要
本文介绍了IWCS 2019在语义解析上共享的任务，目的是为英语句子生成话语表示结构（DRSS）。 Drss源自话语表示理论，并代表了范围的含义表示，以捕获否定，模态，定量和预设触发的语义。此外，DRS中的概念和事件参与者用WordNet Synset和动词的主题角色描述。为了测量两个DRS之间的相似性，它们以可锁定形式表示，即作为一组元组。预计参与者系统将以这种神经形式产生DRS。考虑到丰富的词汇信息，明确的示波器标记，条款之间的大量共享变量以及有效的DRS的高度约束格式，所有这些使DRS解析了具有挑战性的NLP任务。共享任务的结果显示了对现有最新解析器的改进。
The paper presents the IWCS 2019 shared task on semantic parsing where the goal is to produce Discourse Representation Structures (DRSs) for English sentences. DRSs originate from Discourse Representation Theory and represent scoped meaning representations that capture the semantics of negation, modals, quantification, and presupposition triggers. Additionally, concepts and event-participants in DRSs are described with WordNet synsets and the thematic roles from VerbNet. To measure similarity between two DRSs, they are represented in a clausal form, i.e. as a set of tuples. Participant systems were expected to produce DRSs in this clausal form. Taking into account the rich lexical information, explicit scope marking, a high number of shared variables among clauses, and highly-constrained format of valid DRSs, all these makes the DRS parsing a challenging NLP task. The results of the shared task displayed improvements over the existing state-of-the-art parser.
