Name
Abstract | ||
|---|---|---|
We describe the Hindi Discourse Relation Bank project, aimed at developing a large corpus annotated with discourse relations. We adopt the lexically grounded approach of the Penn Discourse Treebank, and describe our classification of Hindi discourse connectives, our modifications to the sense classification of discourse relations, and some cross-linguistic comparisons based on some initial annotations carried out so far. |
Year | Venue | Keywords |
|---|---|---|
2009 | Linguistic Annotation Workshop | initial annotation,sense classification,discourse relation,hindi discourse relation bank,penn discourse treebank,cross-linguistic comparison,hindi discourse connective,large corpus |
Field | DocType | Citations |
Discourse relation,Hindi,Sociology,Artificial intelligence,Natural language processing,Treebank,Linguistics | Conference | 11 |
PageRank | References | Authors |
0.72 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Umangi Oza | 1 | 11 | 1.39 |
| Rashmi Prasad | 2 | 11 | 0.72 |
| Sudheer Kolachina | 3 | 32 | 3.67 |
| Dipti Misra Sharma | 4 | 262 | 45.90 |
| Aravind K. Joshi | 5 | 3479 | 791.99 |