Results 111 to 120 of about 2,031,469 (352)
Word Embedding as Maximum A Posteriori Estimation [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 The GloVe word embedding model relies on solving a global optimization problem, which can be reformulated as a maximum likelihood estimation problem. In this paper, we propose to generalize this approach to word embedding by considering parametrized variants of the GloVe model and incorporating priors on these parameters.
Jameel, Shoaib +4 more
openaire +3 more sources
A Homeostatic Photonic Device Integrating Vapor‐Regulated Thermo‐Optical Feedback Mechanisms
Advanced Functional Materials, EarlyView.An inorganic homeostatic photonic device is designed to autonomously regulate light, temperature, and vapor sorption through integrated positive and negative feedback mechanisms at multiple wavelengths. The device uses a graded mesoporous 1D photonic crystal coupled with a photothermal layer.
Caroline Byun +4 more
wiley +1 more source
Word embeddings of PubMed abstracts
, 2021 We developed a software package called marea (marea adamantly resists egregious acronyms) that implements all necessary natural language processing (NLP) steps to prepare the titles and abstracts of PubMed articles as input for word embedding algorithms. marea filters PubMed articles for relevance and applies PubTator Central concept recognition to the
Ravanmehr, Vida, Robinson, Peter
openaire +2 more sources
Deterministic Writing of Field‐Free and Unipolar Spin‐Transfer Torque Magnetic Random‐Access Memory
Advanced Functional Materials, EarlyView.Deterministic unipolar‐switching STT‐MRAM with field‐free operation is experimentally demonstrated. The device features a compact 4F2 cell architecture using a diode as the access device and a single magnetic tunneling junction. Unlike conventional bipolar switching STT‐MRAM requiring a three‐terminal access transistor in the array, this design offers ...
Ming‐Chun Hong +22 more
wiley +1 more source
Efficient estimation of Hindi WSD with distributed word representation in vector space
Journal of King Saud University: Computer and Information Sciences, 2022 Word Sense Disambiguation (WSD) is significant for improving the accuracy of the interpretation of a Natural language text. Various supervised learning-based models and knowledge-based models have been developed in the literature for WSD of the language ...
Archana Kumari, D.K. Lobiyal
doaj
Learning bilingual word embeddings with (almost) no bilingual data
Annual Meeting of the Association for Computational Linguistics, 2017 Most methods to learn bilingual word embeddings rely on large parallel corpora, which is difficult to obtain for most language pairs. This has motivated an active research line to relax this requirement, with methods that use document-aligned corpora or ...
Mikel Artetxe +2 more
semanticscholar +1 more source
On Measuring and Mitigating Biased Inferences of Word Embeddings [PDF]
AAAI Conference on Artificial Intelligence, 2019 Word embeddings carry stereotypical connotations from the text they are trained on, which can lead to invalid inferences in downstream models that rely on them.
Sunipa Dev +3 more
semanticscholar +1 more source
Quantum-Inspired Complex Word Embedding [PDF]
Proceedings of The Third Workshop on Representation Learning for NLP, 2018 A challenging task for word embeddings is to capture the emergent meaning or polarity of a combination of individual words. For example, existing approaches in word embeddings will assign high probabilities to the words "Penguin" and "Fly" if they frequently co-occur, but it fails to capture the fact that they occur in an opposite sense - Penguins do ...
Li, Qiuchi +3 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.The TOC showcases the chemical structure of the emitter tCzBT2B as an “MVP athlete” in a stadium surrounded by. spotlights and cheering fans celebrating its impressive performance in organic light‐emitting diodes (OLEDs). The stats for this emitter and its device are detailed below.
Dongyang Chen +7 more
wiley +1 more source
Event-Driven Semantic Service Discovery Based on Word Embeddings
IEEE Access, 2018 Service discovery is vital to event handling in Internet of Things applications which are based on the event-driven service-oriented architecture. However, in service discovery, the problem of service matching that establishes relationships between ...
Fagui Liu +3 more
doaj +1 more source