Papers by Vin Sachidananda
Embedding Imputation with Grounded Language Information (P19-1)
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| Challenge: | Existing approaches to embedding imputation use vector space properties or subword information to learn representations for rare or unseen words. |
| Approach: | They propose an online method to construct a knowledge graph from grounded information and an algorithm to map from the resulting graph to the space of the pre-trained embeddings. |
| Outcome: | The proposed method improves on a card-660 task by 11% and 17.8% respectively using GloVe embeddings. |