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