Results 141 to 150 of about 259,269 (327)
Poincar�� GloVe: Hyperbolic Word Embeddings
Words are not created equal. In fact, they form an aristocratic graph with a latent hierarchical structure that the next generation of unsupervised learned word embeddings should reveal. In this paper, justified by the notion of delta-hyperbolicity or tree-likeliness of a space, we propose to embed words in a Cartesian product of hyperbolic spaces ...
Tifrea, Alexandru +2 more
openaire +2 more sources
3D Printing Strategies for Bioengineering Human Cornea
This review highlights recent progress in 3D bioprinting strategies for engineering human corneas. Key aspects include the replication of corneal transparency, curvature, and biomechanical properties, alongside innovations in recent advancements in 3D printing methods, which benefit in overcoming current challenges.
Yunong Yuan +4 more
wiley +1 more source
Word Embedding for High Performance Cross-Language Plagiarism Detection Techniques
Chaimaa Bouaine +2 more
openalex +2 more sources
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words
Word embeddings are one of the most useful tools in any modern natural language processing expert's toolkit. They contain various types of information about each word which makes them the best way to represent the terms in any NLP task. But there are some types of information that cannot be learned by these models.
Seyeditabari, Armin +3 more
openaire +2 more sources
Recent advances in diagnostics have accelerated the development of miniaturized wearable technologies for the continuous monitoring of diseases. This paradigm is shifting healthcare away from invasive, centralized blood tests toward decentralized monitoring, using alternative body biofluids.
Lanka Tata Rao +2 more
wiley +1 more source
Comparative Study for Sentiment Analysis of Financial Tweets with Deep Learning Methods
Nowadays, Twitter is one of the most popular social networking services. People post messages called “tweets”, which may contain photos, videos, links and text. With the vast amount of interaction on Twitter, due to its popularity, analyzing Twitter data
Erkut Memiş +4 more
doaj +1 more source
Fusion of the word2vec word embedding model and cluster analysis for the communication of music intangible cultural heritage. [PDF]
Ning H, Chen Z.
europepmc +1 more source
Improving Negative Sampling for Word Representation using Self-embedded Features [PDF]
Long Chen +3 more
openalex +1 more source
Combining Word Embeddings and Deep Neural Networks for Job Offers and Resumes Classification in IT Recruitment Domain [PDF]
Amine Habous, El Habib Nfaoui
openalex +1 more source
This research investigates the feasibility of 3D‐printing of a bacteriophage‐containing hydrogel made of alginate and methylcellulose. The printed hydrogels steadily release active bacteriophages for up to 35 days which is beneficial to treat implant‐associated infections.
Corina Vater +8 more
wiley +1 more source

