29 search results - page 1 / 6 » Learning to Map Dependency Parses to Abstract Meaning Repres... |
JMLR
2012
11 years 7 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
13 years 6 months 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
13 years 10 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 2 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
13 years 6 months 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 ...