Name
Abstract | ||
|---|---|---|
In this paper, we propose a three-step multilingual dependency parser, which generalizes an efficient parsing algorithm at first phase, a root parser and post-processor at the second and third stages. The main focus of our work is to provide an efficient parser that is practical to use with combining only lexical and part-of-speech features toward language independent parsing. The experimental results show that our method outperforms Maltparser in 13 languages. We expect that such an efficient model is applicable for most languages. |
Year | Venue | Keywords |
|---|---|---|
2006 | CoNLL | part-of-speech feature,efficient parsing algorithm,efficient parser,efficient model,efficient dependency parsing,language independent parsing,three-step multilingual dependency parser,main focus,root parser |
Field | DocType | Citations |
Top-down parsing language,Top-down parsing,Computer science,Simple LR parser,Bottom-up parsing,Parsing expression grammar,Artificial intelligence,Natural language processing,LALR parser,Parsing,Parser combinator | Conference | 10 |
PageRank | References | Authors |
0.67 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Chieh Wu | 1 | 247 | 23.16 |
| Yue-Shi Lee | 2 | 543 | 41.14 |
| Jie-Chi Yang | 3 | 350 | 43.91 |