1929 search results - page 52 / 386 » Learning for Semantic Parsing |
163
Voted
AIIA
1995
Springer
15 years 6 months ago
1995
Springer
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
129
Voted
ACL
2009
15 years 19 days ago
2009
Tree substitution grammars (TSGs) offer many advantages over context-free grammars (CFGs), but are hard to learn. Past approaches have resorted to heuristics. In this paper, we le...
113
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...
84
Voted
ACL
1996
15 years 4 months ago
1996
We show how a general grammar may be automatically adapted for fast parsing of utterances from a specific domain by means of constituent pruning and grammar specialization based o...
139
Voted
ACL
2000
15 years 4 months ago
2000
e, the system labels constituents with either abstract semantic roles such as AGENT or PATIENT, or more domain-specific semantic roles such as SPEAKER, MESSAGE, and TOPIC. The syst...