Name
Abstract | ||
|---|---|---|
Detection of discourse structure is crucial in many text-based applications. This pa- per presents an original framework for de- scribing textual parallelism which allows us to generalize various discourse phe- nomena and to propose a unique method to recognize them. With this prospect, we discuss several methods in order to iden- tify the most appropriate one for the prob- lem, and evaluate them based on a manu- ally annotated corpus. |
Year | Venue | Keywords |
|---|---|---|
2006 | EACL | edit distance |
Field | DocType | Citations |
Edit distance,Computer science,Natural language processing,Artificial intelligence,Discourse structure | Conference | 3 |
PageRank | References | Authors |
0.45 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marie Guégan | 1 | 7 | 1.63 |
| Nicolas Hernandez | 2 | 5 | 3.54 |