Name
Abstract | ||
|---|---|---|
In the natural language processing and its related fields, the classic text representation methods seldom consider the role of the words order and long-distance dependency in the texts for the semantic representation. In this paper, we discussed current situation and problems of the statistical language models, especially for Head-driven statistical language model and Head-driven Phrase Structure Grammar (HPSG). And then the development and realization methods of the long-distance dependency language model simply introduced. At last graph-based long-distance dependency language model was proposed in the paper. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IALP.2011.49 | IALP |
Keywords | Field | DocType |
hspg,text representation method,head-driven phrase structure grammar,graph-based long distance dependency language model,statistical analysis,graph,language model,long-distance dependency language model,long distance dependency,statistical language model,last graph-based long-distance dependency,head-driven statistical language model,grammars,graph-based language model,graph theory,long-distance dependency,natural language processing,classic text representation method,text analysis,semantic representation,head-driven,word order | Link grammar,Cache language model,Context-sensitive language,Computer science,Object language,Universal Networking Language,Natural language processing,Language identification,Artificial intelligence,Dependency (UML),Language model | Conference |
ISBN | Citations | PageRank |
978-1-4577-1733-8 | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Faguo Zhou | 1 | 11 | 2.43 |
| Xin-Gang Yu | 2 | 52 | 3.16 |