NCBI PubMed Central
open access
Learning semantic similarity from sentence pairs using hybrid features centric approach and explainable siamese neural networks.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Official Review · NEURIPS 2023#787218
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks#6512
- Bridging the Semantic-Utility Gap in Multimodal RAG via Generator-in-the-Loop Alignment#985564
- EM^2Mem: Event-Centric Multimodal Memory for Large Language Models#819990
- MELON: A Large-Scale Dataset for Multi-Event Text-to-Long-Video Retrieval#822091
Record · ID 218771
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive