Paper: Graph-based Local Coherence Modeling

ACL ID P13-1010
Title Graph-based Local Coherence Modeling
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013

We propose a computationally efficient graph-based approach for local coherence modeling. We evaluate our system on three tasks: sentence ordering, summary coherence rating and readability assess- ment. The performance is comparable to entity grid based approaches though these rely on a computationally expensive train- ing phase and face data sparsity problems.