Results 61 to 70 of about 19,032 (297)

FastText Spanish Medical Embeddings

, 2020
[Plan TL/medicine/word embeddings] Word embeddings generated from Spanish corpora that include: (a) the full-text in Spanish available in SciELO.org (until December/2018), (b) all articles from the following Wikipedia categories: Pharmacology, Pharmacy ...
Aitor Gonzalez-Agirre, Felipe Soares, Marta Villegas, Jordi Armengol-Estapé, Siamak Barzegar, Martin Krallinger   +5 more
core   +1 more source

Bias Analysis in Word Embeddings with Alignment Techniques [PDF]

, 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  

Activation of embedded words in spoken word recognition. [PDF]

Journal of Experimental Psychology: Human Perception and Performance, 1997
Tilburg University Beatrice de Gelder Tilburg University and Universit6 Libre de Bruxelles Three cross-modal associative priming experiments investigated whether speech input acti- vates words that are embedded in other words.
Vroomen, Jean, De Gelder, Béatrice
openaire   +3 more sources

Uno studio sui Word Embeddings per documenti di ambito medico: Il caso di studio della collezione PubMed [PDF]

, 2022
Questo elaborato ha come obbiettivo quello di studiare i Word Embeddings, in relazione alla loro applicazione alla collezione biomedicale di PubMed. L'interesse è quello di sviluppare una versione del modello SkipGram con la quale addestrare i Word ...
Beschi, Andrea
core  

Do Word Embeddings Capture Spelling Variation? [PDF]

, 2020
Analyses of word embeddings have primarily focused on semantic and syntactic properties. However, word embeddings have the potential to encode other properties as well.
Nguyen, Dong, Scott, Donia, Zong, Chengqing, Natural Language Processing, Sub Natural Language Processing, Bel, Nuria, Grieve, Jack   +6 more
core   +2 more sources

On the Dimensionality of Word Embedding

CoRR, 2018
In this paper, we provide a theoretical understanding of word embedding and its dimensionality. Motivated by the unitary-invariance of word embedding, we propose the Pairwise Inner Product (PIP) loss, a novel metric on the dissimilarity between word embeddings.
Zi Yin, Yuanyuan Shen
openaire   +3 more sources

Reliable Classification of FAQs with Spelling Errors Using an Encoder-Decoder Neural Network in Korean

Applied Sciences, 2019
To resolve lexical disagreement problems between queries and frequently asked questions (FAQs), we propose a reliable sentence classification model based on an encoder-decoder neural network.
Youngjin Jang, Harksoo Kim
doaj   +1 more source

Effects of Semantic Features on Machine Learning-Based Drug Name Recognition Systems: Word Embeddings vs. Manually Constructed Dictionaries

Information, 2015
Semantic features are very important for machine learning-based drug name recognition (DNR) systems. The semantic features used in most DNR systems are based on drug dictionaries manually constructed by experts.
Shengyu Liu, Buzhou Tang, Qingcai Chen, Xiaolong Wang   +3 more
doaj   +1 more source

Explore FREDDY: Fast Word Embeddings in Database Systems

, 2019
Word embeddings encode a lot of semantic as well as syntactic features and therefore are useful in many tasks especially in Natural Language Processing and Information Retrieval.
Thiele, Maik, Günther, Michael, Lehner, Wolfgang, Yanakiev, Zdravko   +3 more
core   +1 more source

Compressing Word Embeddings [PDF]

, 2016
10 pages, 0 figures, submitted to ICONIP-2016. Previous experimental results were submitted to ICLR-2016, but the paper has been significantly updated, since a new experimental set-up worked much ...
openaire   +2 more sources