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.
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- 1.
The SenticNet concepts were extracted using its web-demo version available at (http://sentic.net/demo/).
- 2.
A web-demo of the proposed system is available at (http://andycyrus.github.io/ESCW2014-challenge).
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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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Virk, S.M., Lee, YH., Ku, LW. (2014). Sinica Semantic Parser for ESWC’14 Concept-Level Semantic Analysis Challenge. In: Presutti, V., et al. Semantic Web Evaluation Challenge. SemWebEval 2014. Communications in Computer and Information Science, vol 475. Springer, Cham. https://doi.org/10.1007/978-3-319-12024-9_6
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DOI: https://doi.org/10.1007/978-3-319-12024-9_6
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