Method Term: scalable learning

To view the usage of scalable learning in the ACL ARC 2.0 corpus click here (i.e., KWIC using NoSke).

Terms semantically related to scalable learning:

• decision tree representation
• companion parsing
• deductive-inference
• dependency-lengthlimited parsing
• feedback-directed optimization
• weighted deductive-inference
• boyer-moore search
• graph-unification
• answer/question translation
• answerextraction
• cue detection detection
• cg-based learner
• grammar inducing

Note that only terms are manually validated, not their relationships. See the ACL RD-TEC 1.0 documentations.