Papers with sentence clustering benchmark
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks (P18-2)
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| Challenge: | In this paper, we use Wikipedia articles to learn thematic similarity metric between sentences. |
| Approach: | They propose to leverage the partition of articles into sections to learn thematic similarity metric between sentences. |
| Outcome: | The proposed model outperforms state-of-the-art embeddings on the task of thematic clustering of sentences. |