Word similarity datasets for Thai: Construction and evaluation
P Netisopakul, G Wohlgenannt, A Pulich - IEEE Access, 2019 - ieeexplore.ieee.org
Distributional semantics in the form of word embeddings are an essential ingredient to many
modern natural language processing systems. The quantification of semantic similarity …
modern natural language processing systems. The quantification of semantic similarity …
Exploring synonymy relation between multi-word terms in distributional semantic models
Y Wang, B Daille, N Hathout - … as a Challenge for Computer Science …, 2023 - hal.science
Terminology describes the knowledge structure of a domain through the relationships
between its terms. However, relations between multi-word terms (MWTs) are often …
between its terms. However, relations between multi-word terms (MWTs) are often …
[图书][B] Computational Linguistics and Intelligent Text Processing: 20th International Conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, Revised …
A Gelbukh - 2023 - books.google.com
The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the
CICLing 2019 conference which took place in La Rochelle, France, April 2019. The total of …
CICLing 2019 conference which took place in La Rochelle, France, April 2019. The total of …
[图书][B] An Analysis of Gender Bias in K-12 Assigned Literature Through Comparison of Non-Contextual Word Embedding Models
P Mohan - 2021 - search.proquest.com
Word embeddings are mathematical representations of words computed from a group of
texts that a machine learning model is trained on. Generally, words that are similar to each …
texts that a machine learning model is trained on. Generally, words that are similar to each …
Russian Language Datasets in the Digital Humanities Domain and Their Evaluation with Word Embeddings
G Wohlgenannt, A Babushkin, D Romashov… - … and Intelligent Text …, 2019 - Springer
In this paper, we present Russian language datasets in the digital humanities domain for the
evaluation of word embedding techniques or similar language modeling and feature …
evaluation of word embedding techniques or similar language modeling and feature …
[HTML][HTML] Word Embeddings for Processing Historical Texts
R Sprugnoli, G Moretti - ADHO 2019-Utrecht, 2019 - dh-abstracts.library.virginia.edu
In the last years, word embeddings have become important resources to deal with many
Natural Language Processing (NLP) tasks (Collobert et al., 2011; Maas et al., 2011; Lample …
Natural Language Processing (NLP) tasks (Collobert et al., 2011; Maas et al., 2011; Lample …