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

Conference paper

DOI: 10.1007/978-3-319-12024-9_6

Part of the Communications in Computer and Information Science book series (CCIS, volume 475)
Cite this paper as:
Virk S.M., Lee YH., Ku LW. (2014) Sinica Semantic Parser for ESWC’14 Concept-Level Semantic Analysis Challenge. In: Presutti V. et al. (eds) Semantic Web Evaluation Challenge. SemWebEval 2014. Communications in Computer and Information Science, vol 475. Springer, Cham

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 

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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