Results 111 to 120 of about 1,006,138 (295)

Bias Analysis in Word Embeddings with Alignment Techniques [PDF]

open access: yes, 2023
openIn the field of Natural Language Processing, word embeddings are fundamental tools to represent the semantic relations among words. These tools are built by training learning algorithms on large corpora of textual data, which often reflect different ...
DELLA CASA, ELENA
core  

Coordinated Architectural and Chemical Reinforcement in the Crushing Mandible of a Soldier Termite

open access: yesAdvanced Functional Materials, EarlyView.
The crushing mandible of a soldier termite withstands substantial biting loads despite lacking mineral. Its cuticle is partitioned: convex teeth pair hardness and zinc enrichment with aligned chitin fibers for contact durability, while stiffer concave regions between teeth carry bending loads.
Andrew Tran Nguyen   +16 more
wiley   +1 more source

word representation or word embedding in Persian text

open access: yesCoRR, 2017
Text processing is one of the sub-branches of natural language processing. Recently, the use of machine learning and neural networks methods has been given greater consideration. For this reason, the representation of words has become very important. This article is about word representation or converting words into vectors in Persian text.
Siamak Sarmady, Erfan Rahmani
openaire   +3 more sources

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

open access: yesAdvanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar   +9 more
wiley   +1 more source

Pretrained word and multi-sense embeddings for Estonian

open access: yes, 2019
Word and multi-sense embedding for Estonian trained on lemmatized etTenTen: Corpus of the Estonian Web. Word embeddings are trained with word2vec. Sense embeddings are trained with SenseGram. Sense inventory is induced from word embeddings.
Aedmaa, Eleri
core   +1 more source

Multidimensional‐Encoded High‐Fidelity Spectrometers With a Floating‐Base Bipolar Junction

open access: yesAdvanced Functional Materials, EarlyView.
A floating‐base bipolar junction photodetector enables multidimensional spectral encoding through synergistic gate‐ and drain‐bias modulation of interfacial barrier matching. The resulting complementary spectral responses form a diverse, weakly correlated response matrix, enabling robust and high‐fidelity spectral reconstruction even at sub‐nanoampere ...
Sang‐Hyeon Lee   +11 more
wiley   +1 more source

Task-Optimized Word Embeddings for Text Classification Representations

open access: yesFrontiers in Applied Mathematics and Statistics, 2020
Word embeddings have introduced a compact and efficient way of representing text for further downstream natural language processing (NLP) tasks. Most word embedding algorithms are optimized at the word level.
Sukrat Gupta   +3 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Jointly Learning Word Embeddings and Latent Topics [PDF]

open access: yes, 2017
Word embedding models such as Skip-gram learn a vector-space representation for each word, based on the local word collocation patterns that are observed in a text corpus.
Steven Schockaert   +9 more
core   +1 more source

Ancient Greek Fasttext Word Embeddings

open access: yes, 2021
Word embeddings generated with Fasttext and 1 GB of Ancient Greek texts. These embeddings were produced for the study of social networks and social semantics in ancient Greece by the Diogenet project at the University of San Diego ...
Jacobo Myerston
core   +1 more source

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