Paper: A Mission For Computational Natural Language Learning

ACL ID W06-2901
Title A Mission For Computational Natural Language Learning
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2006
Authors

In this presentation, I will look back at 10 years of CoNLL conferences and the state oftheartofmachine learning oflan- guage that is evident from this decade of research. My conclusion, intended to pro- voke discussion, will be that we currently lack a clear motivation or “mission” to survive as a discipline. I will suggest that anewmission forthe fieldcould befound in a renewed interest for theoretical work (which learning algorithms have a bias that matches the properties of language?, what is the psycholinguistic relevance of learner design issues?), in more sophis- ticated comparative methodology, and in solving the problem of transfer, reusabil- ity,and adaptation oflearned knowledge.