Results 81 to 90 of about 31,081 (304)
Using word embedding for bio-event extraction
, 2015 Bio-event extraction is an important phase towards the goal of extracting biological networks from the scientific literature. Recent advances in word embedding make computation of word distribution more ef- ficient and possible.
Li, Chen +11 more
core +1 more source
Accelerating Neural Machine Translation with Partial Word Embedding Compression
, 2021 Large model size and high computational complexity prevent the neural machine translation (NMT) models from being deployed to low resource devices (e.g. mobile phones).
Tu, Mei, Yan, Jinyao, Zhang, Fan
core +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Toward the Development of Large-Scale Word Embedding for Low-Resourced Language
IEEE Access, 2022 Word embedding is possessed by Natural language processing as a key procedure for semantically and syntactically manipulating the unlabeled text corpus.
Shahzad Nazir +5 more
doaj +1 more source
Deconstructing Word Embeddings
CoRR, 2019 A review of Word Embedding Models through a deconstructive approach reveals their several shortcomings and inconsistencies. These include instability of the vector representations, a distorted analogical reasoning, geometric incompatibility with linguistic features, and the inconsistencies in the corpus data.
openaire +2 more sources
, 2020 Word embedding models learn semantically rich vector representations of words and are widely used to initialize natural processing language (NLP) models.
Sonkar, Shashank
core
Acronym Disambiguation Using Word Embedding
, 2015 According to the website AcronymFinder.com which is one of the world's largest and most comprehensive dictionaries of acronyms, an average of 37 new human-edited acronym definitions are added every day.
Ji, Lei, Li, Chao, Yan, Jun
core +1 more source
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
A triple joint extraction method combining hybrid embedding and relational label embedding
Dianxin kexue, 2023 The purpose of triple extraction is to obtain relationships between entities from unstructured text and apply them to downstream tasks.The embedding mechanism has a great impact on the performance of the triple extraction model, and the embedding vector ...
Jianfeng DAI +3 more
doaj +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 +6 more
wiley +1 more source