Results 71 to 80 of about 629,507 (282)

Learning Chinese Word Embeddings With Words and Subcharacter N-Grams

open access: yesIEEE Access, 2019
Co-occurrence information between words is the basis of training word embeddings; besides, Chinese characters are composed of subcharacters, words made up by the same characters or subcharacters usually have similar semantics, but this internal ...
Ruizhi Kang   +4 more
doaj   +1 more source

Matrix metalloproteinase‐9 regulates cell adhesion and membrane protrusive activity of ovarian cancer cells

open access: yesFEBS Open Bio, EarlyView.
Matrix metalloproteinase‐9 (MMP9) drives ovarian cancer progression. Using MMP9‐null cells (M9‐KO) created from ovarian cancer cells, we found MMP9 loss did not block Epidermal Growth Factor (EGF)‐driven E‐cadherin dissolution or EMT but delayed and reduced EGF‐driven membrane protrusions. Transient MMP9 re‐expression drove membrane protrusion.
Claire Strauel   +8 more
wiley   +1 more source

Beyond Word N-Grams

open access: yes, 1999
15 pages, one PostScript figure, uses psfig.sty and fullname.sty.
Pereira, Fernando C. N.   +2 more
openaire   +2 more sources

Duluth at SemEval-2017 Task 6: Language Models in Humor Detection

open access: yes, 2017
This paper describes the Duluth system that participated in SemEval-2017 Task 6 #HashtagWars: Learning a Sense of Humor. The system participated in Subtasks A and B using N-gram language models, ranking highly in the task evaluation. This paper discusses
Pedersen, Ted, Yan, Xinru
core   +1 more source

MiR‐513a promotes human erythroid differentiation by modulating c‐Jun

open access: yesFEBS Open Bio, EarlyView.
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim   +11 more
wiley   +1 more source

Learning Distributed Representations for Multiple-Viewpoint Melodic Prediction [PDF]

open access: yes, 2013
The analysis of sequences is important for extracting in- formation from music owing to its fundamentally temporal nature. In this paper, we present a distributed model based on the Restricted Boltzmann Machine (RBM) for learning melodic sequences.
Cherla, S.   +3 more
core  

Sudden anaerobization in Amphibacillus xylanus increases intracellular labile ferrous iron and inhibits cell growth

open access: yesFEBS Open Bio, EarlyView.
Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata   +13 more
wiley   +1 more source

Whole‐Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Laura Costa‐Comellas   +39 more
wiley   +1 more source

Statistical machine translation implementation and performance tests betweenKyrgyz and Turkish Languages

open access: yesMANAS: Journal of Engineering, 2015
Bilgisayarlı çeviri, doğal diller arası metin çevirmede kullanılan farklı yöntem ve yazılımları araştırmayı amaçlayan bilgisayarlı dilbilim alt alanıdır.
N. Tayirova, M. Tekerek, U. Brimkulov
doaj  

Using percolated dependencies for phrase extraction in SMT [PDF]

open access: yes, 2009
Statistical Machine Translation (SMT) systems rely heavily on the quality of the phrase pairs induced from large amounts of training data. Apart from the widely used method of heuristic learning of n-gram phrase translations from word alignments, there ...
Srivastava, Ankit Kumar, Way, Andy
core   +2 more sources

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