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Evaluating Induced CCG Parsers on Grounded Semantic Parsing
- Publication Year :
- 2016
-
Abstract
- We compare the effectiveness of four different syntactic CCG parsers for a semantic slot-filling task to explore how much syntactic supervision is required for downstream semantic analysis. This extrinsic, task-based evaluation provides a unique window to explore the strengths and weaknesses of semantics captured by unsupervised grammar induction systems. We release a new Freebase semantic parsing dataset called SPADES (Semantic PArsing of DEclarative Sentences) containing 93K cloze-style questions paired with answers. We evaluate all our models on this dataset. Our code and data are available at https://github.com/sivareddyg/graph-parser.<br />Comment: EMNLP 2016, Table 2 erratum, Code and Freebase Semantic Parsing data URL
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1609.09405
- Document Type :
- Working Paper