Results 81 to 90 of about 256,478 (282)

Learning Visually Consistent Label Embeddings for Zero-Shot Learning

, 2019
In this work, we propose a zero-shot learning method to effectively model knowledge transfer between classes via jointly learning visually consistent word vectors and label embedding model in an end-to-end manner.
Cinbis, Ramazan Gokberk, Demirel, Berkan, Ikizler-Cinbis, Nazli   +2 more
core   +1 more source

Word Mover’s Embedding: From Word2Vec to Document Embedding [PDF]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
While the celebrated Word2Vec technique yields semantically rich representations for individual words, there has been relatively less success in extending to generate unsupervised sentences or documents embeddings. Recent work has demonstrated that a distance measure between documents called \emph{Word Mover's Distance} (WMD) that aligns semantically ...
Wu, Lingfei, Yen, Ian E. H., Xu, Kun, Xu, Fangli, Balakrishnan, Avinash, Chen, Pin-Yu, Ravikumar, Pradeep, Witbrock, Michael J.   +7 more
openaire   +2 more sources

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

Refining electronic medical records representation in manifold subspace

BMC Bioinformatics, 2022
Background Electronic medical records (EMR) contain detailed information about patient health. Developing an effective representation model is of great significance for the downstream applications of EMR.
Bolin Wang, Yuanyuan Sun, Yonghe Chu, Di Zhao, Zhihao Yang, Jian Wang   +5 more
doaj   +1 more source

Word Embeddings in Sentiment Analysis [PDF]

, 2018
In the late years sentiment analysis and its applications have reached growing popularity. Concerning this field of research, in the very late years machine learning and word representation learning derived from distributional semantics field (i.e. word embeddings) have proven to be very successful in performing sentiment analysis tasks.
Petrolito R, Dell'Orletta F
openaire   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

New method of text representation model based on neural network

Tongxin xuebao, 2017
Method of text representation model was proposed to extract word-embedding from text feature.Firstly,the word-embedding of the dual word-embedding list based on dictionary index and the corresponding part of speech index was created.Then,feature vectors ...
Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU   +3 more
doaj   +2 more sources

Direct Metal Deposition of Graphene–Ti28Nb35.4Zr Matrix Composites With Enhanced Mechanical, Corrosion, and Biocompatibility Properties for Bone Implants

Advanced Engineering Materials, EarlyView.
Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir, Jixing Lin, Yuncang Li, Li Zhu, Paul F. A. Wright, Cuie Wen   +5 more
wiley   +1 more source

Teaching AI when to care about gender

Code4Lib Journal, 2022
Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) concerned with solving language tasks by modeling large amounts of textual data.
James Powell, Kari Sentz, Elizabeth Moyer, Martin Klein
doaj  

Analysis of Italian Word Embeddings [PDF]

, 2017
In this work we analyze the performances of two of the most used word embeddings algorithms, skip-gram and continuous bag of words on Italian language. These algorithms have many hyper-parameter that have to be carefully tuned in order to obtain accurate word representation in vectorial space. We provide an extensive analysis and an evaluation, showing
Tripodi, Rocco, Pira, Stefano Li
openaire   +3 more sources