| H89-2024 | informarion to be added to a document by | embedding | user-defined sequences of text |
| W15-4005 | regression to learn the bilingual word | embedding | using compositional distributional |
| J95-2003 | candidate was appropriate given the | embedding | utterance interpretation . Joshi |
| P15-1025 | with the variable size of word | embedding | vec - tors , we employ the framework |
| D15-1031 | KBs but also to be equal to the | embedding | vector computed from the text |
| D15-1031 | dependency on anchors . We require the | embedding | vector of an entity not only |
| P06-2071 | from the image and text of the | embedding | web page . We evaluate our method |
| D14-1015 | investigate how to improve bilingual | embedding | which has been successfully used |
| H89-2030 | feature of the paper is our work on | embedding | within the ViewGen belief-and-point-ofview |
| W15-1504 | We introduce a new method for | embedding | word instances and their context |
| D15-1252 | , penalizing embeddings , re - | embedding | words , and dropout . We also |
