Results 41 to 50 of about 33,665 (246)

Hoax Detection System on Twitter using Feed-Forward and Back-Propagation Neural Networks Classification Method

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020
Social media is one of the ways to connect every individual in the world. It also used by irresponsible people to spread a hoax. Hoax is false news that is made as if it is true. It may cause anxiety and panic in society.
Crisanadenta Wintang Kencana, Erwin Budi Setiawan, Isman Kurniawan   +2 more
doaj   +1 more source

SPINE: SParse Interpretable Neural Embeddings

, 2017
Prediction without justification has limited utility. Much of the success of neural models can be attributed to their ability to learn rich, dense and expressive representations.
Berg-Kirkpatrick, Taylor, Hovy, Eduard, Jhamtani, Harsh, Pruthi, Danish, Subramanian, Anant   +4 more
core   +1 more source

Neural Language Models for Nineteenth-Century English

Journal of Open Humanities Data, 2021
We present four types of neural language models trained on a large historical dataset of books in English, published between 1760 and 1900, and comprised of ≈5.1 billion tokens.
Kasra Hosseini, Kaspar Beelen, Giovanni Colavizza, Mariona Coll Ardanuy   +3 more
doaj   +1 more source

Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings

, 2017
In many modern day systems such as information extraction and knowledge management agents, ontologies play a vital role in maintaining the concept hierarchies of the selected domain.
Ayesha, Buddhi, de Silva, Nisansa, Jayawardana, Vindula, Lakmal, Dimuthu, Perera, Amal Shehan, Perera, Madhavi, Sugathadasa, Keet   +6 more
core   +1 more source

Efficient Parallel Learning of Word2Vec [PDF]

, 2016
Since its introduction, Word2Vec and its variants are widely used to learn semantics-preserving representations of words or entities in an embedding space, which can be used to produce state-of-art results for various Natural Language Processing tasks.
Vuurens, J.B.P., Eickhoff, C., Vries, A.P. de   +2 more
openaire   +2 more sources

Factors Influencing the Surprising Instability of Word Embeddings

, 2018
Despite the recent popularity of word embedding methods, there is only a small body of work exploring the limitations of these representations. In this paper, we consider one aspect of embedding spaces, namely their stability.
Kummerfeld, Jonathan K., Mihalcea, Rada, Wendlandt, Laura   +2 more
core   +1 more source

Precise Construction of an Antimicrobial Peptide Targeting Bacterial Cell Membranes Derived From Natural Peptides

Advanced Science, EarlyView.
An AMP (P 3‐3R‐8I) based on natural peptides, which can target bacterial cell membranes, was precisely constructed via amino acid mutation. P 3‐3R‐8I exhibits antibacterial capability which could be attributed to the ability of P 3‐3R‐8I to quickly penetrate bacterial cell membranes and then to bind to bacterial DNA.
Jiaqi Huang, Bohao Liu, Xingzhuo Zhu, Deqian Qiao, Sizhe Chen, Xiaoyan Zeng, Qingqing Yang, Zihuan Wei, Yinjuan Huang, Jizhao Wang, Guangjian Zhang, Qiuyu Gong   +11 more
wiley   +1 more source

Modeling Musical Context with Word2vec

First International Workshop On Deep Learning and Music, 2017
Proceedings of the First International Conference on Deep Learning and Music, Anchorage, US, May, 2017 (arXiv:1706.08675v1 [cs.NE])
Herremans, Dorien, Chuan, Ching-Hua
openaire   +3 more sources

Optimizing word embeddings for small datasets: a case study on patient portal messages from breast cancer patients

Scientific Reports
Patient portal messages often relate to specific clinical phenomena (e.g., patients undergoing treatment for breast cancer) and, as a result, have received increasing attention in biomedical research.
Qingyuan Song, Congning Ni, Jeremy L. Warner, Qingxia Chen, Lijun Song, S. Trent Rosenbloom, Bradley A. Malin, Zhijun Yin   +7 more
doaj   +1 more source

A framework of design concept generation framework with operations on extensional conceptual space

Nihon Kikai Gakkai ronbunshu, 2022
In the conceptual design phase, generating novel concepts is a cornerstone for producing innovative products. This paper proposes a framework for design concept generation with an extensional conceptual space (ECS).
Yutaka NOMAGUCHI, Koki SHODA, Tomoya TACHIBANA, Kikuo FUJITA   +3 more
doaj   +1 more source