Papers by Sneha Nallani
A Simple and Effective Dependency Parser for Telugu (2020.acl-srw)
Copied to clipboard
| Challenge: | Existing dependency parsers for Telugu use hand-crafted features based on linguistic information like part-of-speech and morphology which are expensive to annotate. |
| Approach: | They propose to replace linguistic feature templates with a minimal feature function for Telugu . they train a BERT model on the Telugus Wikipedia data and use contextual vector representations to train the parser. |
| Outcome: | The proposed parser achieves state-of-the-art for Telugu using contextual vector representations . the proposed model trains on the Telugus Wikipedia data and trains with a greedy transition based approach . |