To view the usage of machine learning and classification in the ACL ARC 2.0 corpus click here to get its KWIC concorance using NoSke.

Terms semantically related to machine learning and classification:

• tone learning
• tone learning and recognition
• dialog manager software
• co-occurrence frequency counting
• domain-specific automatic term recognition
• lsaguage processing
• plural detection
• auto-tutor system
• hybrid text classification
• pause segmentation
• pitch accent classification
• reference planning and aggregation
• noise deletion

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