Results 291 to 300 of about 3,577,614 (332)

Short technical text classification

2021 20th RoEduNet Conference: Networking in Education and Research (RoEduNet), 2021
Iulia-Maria Florea, Razvan Victor Rughinis, Stefan-Dan Ciocirlan   +2 more
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Short Dakota Texts, including Conversations

International Journal of American Linguistics, 1954
0. [The following texts are a small fraction of the riches found in the Franz Boas Collection and deposited in the Library of the American Philosophical Society. For the very attractive format of the published version, we are indebted to Elsie Dosch of the IJAL editorial staff, and to Ella Deloria who not only gave us permission to publish these texts ...
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Text length and short texts

Abstract Variation in text length is an unavoidable confounder in quantitative text-analytic corpus-linguistic studies. Texts can be difficult to compare across text lengths, particularly if many of them are short, due to the difficulty of calculating meaningful
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Learning relations between short texts

2016
A core problem in Machine Learning (ML) is the definition of meaningful representations of input objects that provide the learning algorithm with enough information to estimate an accurate model for solving a target task. In Natural Language Learning, the traditional approach consists in modeling input texts as feature vectors where each value encodes ...
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Short Research Methods Texts Fall Short

Contemporary Sociology, 1983
Leo C. Rigsby, Bruce D. Bowen, Herbert F. Weisberg, Elliot J. Feldman, Paul D. Leedy, Susan Gustavus Philliber, Mary R. Schwab, G. Sam Sloss   +7 more
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Keyword-Text Graph Representation for Short Text Classification

2021 13th International Conference on Information Technology and Electrical Engineering (ICITEE), 2021
Piyawat Chuanakrud, Teerapong Leelanupab, Chaianun Damrongrat, Nont Kanungsukkasem   +3 more
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Semantic Enriched Short Text Clustering

2017
The paper is devoted to the issue of clustering short texts, which are free answers gathered during brain storming seminars. Those answers are short, often incomplete, and highly biased toward the question, so establishing a notion of proximity between texts is a challenging task.
Marek Kozlowski, Henryk Rybinski
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Deep Learning--based Text Classification

ACM Computing Surveys, 2022
Erik Cambria
exaly  

Transformers are Short-Text Classifiers

2023
Fabian Karl, Ansgar Scherp
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Short Kutenai Texts

International Journal of American Linguistics, 1953
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