i-Parser: Interactive Parser Development Kit for Natural Language Processing

Gaku Morio, Hiroaki Ozaki, Yuta Koreeda, Terufumi Morishita, Toshinori Miyoshi

Abstract: This demonstration paper presents i-Parser, a novel development kit that produces high-performance semantic parsers. i-Parser converts training graphs into sequences written in a context-free language, then our proposed model learns to generate the sequences. With interactive configuration and visualization, users can easily build their own parsers. Benchmark results of i-Parser showed high performances of various parsing tasks in natural language processing.