| D13-1055 | edit category classification as a | multi-label classification | task . For the sake of readability |
| E14-1073 | prediction must be formalized as a | multi-label classification | problem because some words can |
| D13-1055 | how the extraction and automatic | multi-label classification | of any edit in Wikipedia can |
| E12-1079 | designed the annotation study as a | multi-label classification | task , i.e. the annotators can |
| P06-2090 | tentative evaluation schemes exist for | multi-label classification | ( e.g. McCallum , 1999 ) . Further |
| D15-1027 | problem is in general an instance of | multi-label classification | , because a single utterance |
| D09-1026 | multiple one vs-rest SVMs ) for | multi-label classification | . Because Labeled LDA is a graphical |
| D15-1086 | author . Since FIGER performs | multi-label classification | , it annotates some of the relation |
| D13-1055 | development set , as shown in Table 2 . | Multi-label Classification | We report the performance of |
| D15-1027 | values , making this task one of | multi-label classification | with a very large number of labels |
| D13-1055 | ei ) . Evaluation measures for | multi-label classification | systems are based on either bipartitions |
| J12-3005 | semantic class , in the framework of | multi-label classification | . A typical example of a multi-label |
| D13-1055 | solved by either transforming the | multi-label classification | task into one or more single-label |
| D09-1026 | each document in a test set . | Multi-label classification | is a well researched problem |
| P09-1075 | for absolute comparison on the | multi-label classification | task is given by Reitter ( 2003a |
| D15-1027 | improved domain adaptation . The | multi-label classification | problem of dialogue act recognition |
| D13-1055 | . A comprehensive overview of | multi-label classification | algorithms and evaluation measures |
| N06-2043 | The task was conceptualized as a | multi-label classification | , where the system is trained |
| N12-1013 | 4.3 Multi-Label Classification | Multi-label classification | is the problem of assigning multiple |
| N12-1013 | function at training time . 4.3 | Multi-Label Classification | Multi-label classification is |
