paper-with-me

Semantic Retrieval 벤치마크

Semantic Retrieval on Contract Discovery

6개 결과 · ⬇ CSV · JSON

Soft-F1

0.31 0.4425 0.575 0.7075 0.84 2019-11 2026-09 Human baseline — 0.84 (2019-11-10) k-NN with sentence n-grams, GPT-2 embeddings, fICA — 0.51 (2019-11-10) LSA baseline — 0.39 (2019-11-10) Universal Sentence Encoder — 0.38 (2019-11-10) Sentence BERT — 0.31 (2019-11-10) DBTW, GPT-1 embeddings, fICA — 0.51 (2020-10-27) Human baseline — 0.84 (2019-11-10)
RankModel Soft-F1 PaperCodeYear
1 Human baseline 0.84 Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines applicaai/contract-discovery 2019
2 k-NN with sentence n-grams, GPT-2 embeddings, fICA 0.51 Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines applicaai/contract-discovery 2019
2 DBTW, GPT-1 embeddings, fICA 0.51 Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples 2020
4 LSA baseline 0.39 Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines applicaai/contract-discovery 2019
5 Universal Sentence Encoder 0.38 Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines applicaai/contract-discovery 2019
6 Sentence BERT 0.31 Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines applicaai/contract-discovery 2019
1–6 / 6 페이지당 10 20 50 100