← Sentence Embeddings For Biomedical Texts

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BIOSSES

아카이브 평가 14건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
Supervised combination of: Jaccard, Q-gram, sent2vec, Paragraph vector DM, skip-thoughts, fastText	Pearson Correlation 0.871	Neural sentence embedding models for semantic similarity estimation in the biomedical domain 2021-10-01	코드 1
Unsupervised combination (mean) of: Jaccard, q-gram, Paragraph vector (PV-DBOW) and sent2vec	Pearson Correlation 0.846	Neural sentence embedding models for semantic similarity estimation in the biomedical domain 2021-10-01	코드 1
Paragraph vector (PV-DM)	Pearson Correlation 0.819	Neural sentence embedding models for semantic similarity estimation in the biomedical domain 2021-10-01	코드 1
BioSentVec (PubMed)	Pearson Correlation 0.817	BioSentVec: creating sentence embeddings for biomedical texts 2018-10-22	코드 1 · 코드 2 · 코드 3 · 코드 4
Paragraph vector (PV-DBOW)	Pearson Correlation 0.804	Neural sentence embedding models for semantic similarity estimation in the biomedical domain 2021-10-01	코드 1
Sent2vec	Pearson Correlation 0.798	Neural sentence embedding models for semantic similarity estimation in the biomedical domain 2021-10-01	코드 1
BioSentVec (PubMed + MIMIC-III)	Pearson Correlation 0.795	BioSentVec: creating sentence embeddings for biomedical texts 2018-10-22	코드 1 · 코드 2 · 코드 3 · 코드 4
Paragraph Vector	Pearson Correlation 0.787	BIOSSES: A Semantic Sentence Similarity Estimation System for the Biomedical Domain 2017-07-15	연결 없음
fastText (skip-gram, max pooling)	Pearson Correlation 0.766	Neural sentence embedding models for semantic similarity estimation in the biomedical domain 2021-10-01	코드 1
Q-gram (q = 3)	Pearson Correlation 0.723	Neural sentence embedding models for semantic similarity estimation in the biomedical domain 2021-10-01	코드 1
Skip-thoughts	Pearson Correlation 0.485	Neural sentence embedding models for semantic similarity estimation in the biomedical domain 2021-10-01	코드 1
BioSentVec (MIMIC-III)	Pearson Correlation 0.350	BioSentVec: creating sentence embeddings for biomedical texts 2018-10-22	코드 1 · 코드 2 · 코드 3 · 코드 4
Universal Sentence Encoder	Pearson Correlation 0.345	BioSentVec: creating sentence embeddings for biomedical texts 2018-10-22	코드 1 · 코드 2 · 코드 3 · 코드 4
fastText (CBOW, max pooling)	Pearson Correlation 0.253	Neural sentence embedding models for semantic similarity estimation in the biomedical domain 2021-10-01	코드 1