Name
Title | ||
|---|---|---|
Quantifier scope disambiguation using extracted pragmatic knowledge: preliminary results |
Abstract | ||
|---|---|---|
It is well known that pragmatic knowledge is useful and necessary in many difficult language processing tasks, but because this knowledge is difficult to acquire and process automatically, it is rarely used. We present an open information extraction technique for automatically extracting a particular kind of pragmatic knowledge from text, and we show how to integrate the knowledge into a Markov Logic Network model for quantifier scope disambiguation. Our model improves quantifier scope judgments in experiments. |
Year | Venue | Keywords |
|---|---|---|
2009 | EMNLP | markov logic network model,difficult language processing task,preliminary result,open information extraction technique,pragmatic knowledge,particular kind,quantifier scope disambiguation,quantifier scope judgment |
Field | DocType | Volume |
Markov logic network,Computer science,Information extraction,Natural language processing,Artificial intelligence | Conference | D09-1 |
Citations | PageRank | References |
11 | 0.75 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Prakash Srinivasan | 1 | 14 | 1.85 |
| Alexander Yates | 2 | 898 | 51.53 |