Title
Evaluating Induced CCG Parsers on Grounded Semantic Parsing.
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 this https URL
Year
DOI
Venue
2016
10.18653/v1/D16-1214
EMNLP
DocType
Volume
Citations 
Conference
abs/1609.09405
3
PageRank 
References 
Authors
0.36
9
5
Name
Order
Citations
PageRank
Yonatan Bisk119617.54
Siva Reddy234521.37
John Blitzer33330193.45
Julia Hockenmaier41782114.23
Mark Steedman51795238.27