Sinica Semantic Parser for ESWC’14 Concept-Level Semantic Analysis Challenge

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 475)

Abstract

We present a semantic parsing system to decompose a sentence into semantic-expressions/concepts for ESWC’14 semantic analysis challenge. The proposed system has a pipeline architecture, and is based on syntactic parsing and semantic role labeling of the candidate sentence. For the former task, we use Stanford English parser; and for the later task, we use an in-house developed semantic role labeling system. From the syntactically and semantically annotated sentence, the concepts are formulated using a set of hand-build concept-formulation patterns. We compare the proposed system’s performance to SenticNet with the help of few examples.

Keywords

Syntactic parsing Semantic parsing Semantic role labeling Concept formulation templates 

Notes

Acknowledgment

We would like to acknowledge that this work was partially supported by National Science Council, Taiwan, under the contract NSC 102-2221-E-001-026.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Shafqat Mumtaz Virk
    • 1
  • Yann-Huei Lee
    • 1
  • Lun-Wei Ku
    • 1
  1. 1.Institute of Information Science (IIS)Academia SinicaTaipeiTaiwan

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