Name
Abstract | ||
|---|---|---|
This paper presents a supervised approach for identifying generic noun phrases in context. Generic statements express rule-like knowledge about kinds or events. Therefore, their identification is important for the automatic construction of knowledge bases. In particular, the distinction between generic and non-generic statements is crucial for the correct encoding of generic and instance-level information. Generic expressions have been studied extensively in formal semantics. Building on this work, we explore a corpus-based learning approach for identifying generic NPs, using selections of linguistically motivated features. Our results perform well above the baseline and existing prior work. |
Year | Venue | Keywords |
|---|---|---|
2010 | ACL | generic expression,automatic construction,knowledge base,rule-like knowledge,corpus-based learning approach,generic nps,prior work,supervised approach,generic statement,generic noun phrase,noun phrase |
Field | DocType | Volume |
Noun phrase,Expression (mathematics),Computer science,Artificial intelligence,Natural language processing,Encoding (memory),Semantics of logic | Conference | P10-1 |
Citations | PageRank | References |
8 | 0.71 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nils Reiter | 1 | 37 | 7.69 |
| Anette Frank | 2 | 52 | 7.21 |