Abstract
This position paper argues for an interactive approach to text understanding. The proposed model extends an existing semantics-based text authoring system by using the input text as a source of information to assist the user in re-authoring its content. The approach permits a reliable deep semantic analysis by combining automatic information extraction with a minimal amount of human intervention.
Cite
CITATION STYLE
APA
Dymetman, M., Max, A., & Yamada, K. (2003). Towards interactive text understanding (pp. 109–112). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1075178.1075193
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