Papers by Bikash Gyawali
Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings (2020.lrec-1)
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| Challenge: | Deduplication is the task of identifying near and exact duplicate data items in a collection. |
| Approach: | They propose a method which uses locality sensitive hashing and meaning representation to determine (near) duplicates. |
| Outcome: | The proposed method achieves a macro F1-score of 0.90 on a ground truth dataset of 100K scholarly documents. |