| D13-1122 | sources are integrated in our | hypernym discovery | model . Our approach is composed |
| D13-1122 | framework for Chinese open-domain | hypernym discovery | . Given an entity name , our |
| D13-1122 | framework for Chinese open-domain | hypernym discovery | . Given an entity name , we try |
| W06-0203 | instance been used successfully for | hypernym discovery | ( cf. Snow et al. , 2005 ) . |
| D13-1122 | </title> Bing Qin Fu Ting Abstract | Hypernym discovery | aims to extract such noun pairs |
| D09-1097 | Francisco , 2nd edition . <title> | Hypernym Discovery | Based on Distributional and Hierarchical |
| D13-1122 | Multiple Sources for Open-domain | Hypernym Discovery | </title> Bing Qin Fu Ting Abstract |
| D13-1122 | test dataset . 1 Introduction | Hypernym discovery | is a task to extract such noun |
| W10-0915 | tasks in machine reading such as | hypernym discovery | ( Alan Ritter and Etzioni , 2009 |
| D13-1122 | is a hypernym of " Aspirin " . | Hypernym discovery | is an important subtask of semantic |
| D13-1122 | Related Work Previous methods for | hypernym discovery | can be summarized into two major |
| D13-1122 | previous methods on automatic | hypernym discovery | are based on lexical patterns |
| W09-3538 | could be achieved by incorporating | hypernym discovery | ( making use e.g. of Wikipedia |
