29 search results - page 1 / 6 » Learning to Map Dependency Parses to Abstract Meaning Repres... |
JMLR
2012
12 years 1 months ago
2012
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
EMNLP
2008
14 years 9 days ago
2008
In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structure...
CICLING
2007
Springer
14 years 5 months ago
2007
Springer
Semantic parsing is the task of mapping a natural language sentence into a complete, formal meaning representation. Over the past decade, we have developed a number of machine lear...
EMNLP
2009
13 years 8 months ago
2009
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, r...
ACL
2006
14 years 7 days ago
2006
We present a new approach for mapping natural language sentences to their formal meaning representations using stringkernel-based classifiers. Our system learns these classifiers ...