Paper: Modelling Compression with Discourse Constraints

ACL ID D07-1001
Title Modelling Compression with Discourse Constraints
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007
Authors

Sentence compression holds promise for many applications ranging from summarisa- tion to subtitle generation and subtitle gen- eration. The task is typically performed on isolated sentences without taking the sur- rounding context into account, even though most applications would operate over entire documents. In this paper we present a dis- course informed model which is capable of producing document compressions that are coherent and informative. Our model is in- spired by theories of local coherence and formulated within the framework of Integer Linear Programming. Experimental results show significant improvements over a state- of-the-art discourse agnostic approach.