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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Projects: pypi: sent2vec

https://packages.ecosyste.ms/registries/pypi.org/packages/sent2vec

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
15 versions
Latest release: over 3 years ago
10,300 downloads last month

Enhanced Analysis
Repository Activity:
Repository Owner: Pedram Ataee (user)
AI Architect | đŸ€– Author of “Artificial Intelligence: Unorthodox Lessons”
README Analysis:
Science Score: 65/100
Starting Score: 100 points
Bonuses:
  • +4 Science terms in README
    2 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
  • -10 No science terms in description
    No scientific terms found in description
Very Likely Science (65)

Papers Mentioning sent2vec 6

10.1371/journal.pone.0194136
Emotion computing using Word Mover’s Distance features based on Ren_CECps
Cited by: 11
Author(s): Fuji Ren, Ning Liu
Software Mentions: 5
Published: over 7 years ago
10.1186/s12859-019-2789-2
Neural sentence embedding models for semantic similarity estimation in the biomedical domain
Cited by: 18
Author(s): Kathrin Blagec, Hong Xu, Asan Agibetov, Matthias Samwald
Software Mentions: 4
Published: over 6 years ago
10.1371/journal.pone.0248663
Protocol for a reproducible experimental survey on biomedical sentence similarity
Cited by: 2
Author(s): Alicia Lara-Clares, Juan J. Lastra-DĂ­az, Ana Garcı́a-Serrano
Software Mentions: 4
Published: over 4 years ago
10.1186/s12859-018-2496-4
Fast and scalable neural embedding models for biomedical sentence classification
Cited by: 18
Author(s): Asan Agibetov, Kathrin Blagec, Hong Xu, Matthias Samwald
Software Mentions: 3
Published: over 6 years ago
10.3390/jpm10040286
Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI
Cited by: 28
Author(s): Tak-Sung Heo, Yu Seop Kim, Jeong-Myeong Choi, Yeong Seok Jeong, Seung Beom Seo, Jun Ho Lee, Jin Pyeong Jeon, Chul‐Ho Kim
Software Mentions: 2
Published: over 4 years ago
10.3390/jimaging6120141
Attention-Based Fully Gated CNN-BGRU for Russian Handwritten Text
Cited by: 22
Author(s): Abdelrahman Abdallah, Mohamed A. Hamada, Daniyar Nurseitov
Software Mentions: 1
Published: over 4 years ago