Papers by Ramesh Inturi
Word Embedding Binarization with Semantic Information Preservation (2020.coling-main)
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| Challenge: | Word and Sentence embeddings are one of the most common starting points of any NLP task. |
| Approach: | They propose a way to convert word embedding to binary representation to reduce overall size . they propose different approaches suitable for different downstream tasks based on contextual and semantic information. |
| Outcome: | The proposed method reduces the size of the embedding while keeping the semantic and relational knowledge intact. |