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SHORT SCIENTIFIC TEXTS CLASSIFICATION
Научно-техническая информация. Серия 1: Организация и методика информационной работы, 2023Представлен анализ реализаций методов векторизации текстовой информации; описаны выбор модели классификации научных трудов и обучение лингвистической модели BERT на домене научных текстов. Приведены результаты экспериментов по обучению моделей классификации научных статей по первому и второму уровням ГРНТИ.
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Intelligent Short Text Assessment in eMax
AFRICON 2007, 2007Rapidly increasing student numbers and spreading distance learning systems strengthen the urgent need for effective knowledge assessment systems (KAS's). Recent KAS's have however, the deficiency of not providing intelligent assessment modules for eg the evaluation of freely formulated short answers including a few sentences or partially solved ...
null Dezso Sima +3 more
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Short Text Classification: A Survey
Journal of Multimedia, 2014With the recent explosive growth of e-commerce and online communication, a new genre of text, short text, has been extensively applied in many areas. So many researches focus on short text mining. It is a challenge to classify the short text owing to its natural characters, such as sparseness, large-scale, immediacy, non-standardization.
Ge Song +4 more
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Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Recent years have witnessed the unprecedented growth of online social media, which empower short texts as the prevalent format for information of Internet. Given the nature of sparsity, however, short text topic modeling remains a critical yet much-watched challenge in both academy and industry. Rich research efforts have been put on building different
Yuan Zuo +6 more
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Recent years have witnessed the unprecedented growth of online social media, which empower short texts as the prevalent format for information of Internet. Given the nature of sparsity, however, short text topic modeling remains a critical yet much-watched challenge in both academy and industry. Rich research efforts have been put on building different
Yuan Zuo +6 more
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2013
Many applications handle short texts, and enableing machines to understand short texts is a big challenge. For example, in Ads selection, it is is difficult to evaluate the semantic similarity between a search query and an ad. Clearly, edit distance based string similarity does not work.
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Many applications handle short texts, and enableing machines to understand short texts is a big challenge. For example, in Ads selection, it is is difficult to evaluate the semantic similarity between a search query and an ad. Clearly, edit distance based string similarity does not work.
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Generalizing Unmasking for Short Texts
Proceedings of the 2019 Conference of the North, 2019Authorship verification is the problem of inferring whether two texts were written by the same author. For this task, unmasking is one of the most robust approaches as of today with the major shortcoming of only being applicable to book-length texts. In this paper, we present a generalized unmasking approach which allows for authorship verification of ...
Janek Bevendorff +3 more
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Review of short-text classification
International Journal of Web Information Systems, 2019PurposeRapid developments in social networks and their usage in everyday life have caused an explosion in the amount of short electronic documents. Thus, the need to classify this type of document based on their content has a significant implication in many applications.
Issa Alsmadi, Keng Hoon Gan
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Recognition of Short Handwritten Texts
2004Building on our 10-year-experience with script recognition systems, a new reader generation was designed. Previously, only single handwritten words were compared against a dictionary. Now a short text is modeled and processed as a whole. The system does not proceed in a linear fashion anymore, but uses feedback between image processing, character ...
Michael Boldt, Christopher Asp
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Clustering short texts using wikipedia
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007Subscribers to the popular news or blog feeds (RSS/Atom) often face the problem of information overload as these feed sources usually deliver large number of items periodically. One solution to this problem could be clustering similar items in the feed reader to make the information more manageable for a user. Clustering items at the feed reader end is
Somnath Banerjee +2 more
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Search-based short-text classification
5th International Conference on Pervasive Computing and Applications, 2010Since the traditional classification algorithm does not work well in the case of short-text classification, we propose a search-based method employing Na'iveBayes classification algorithm. This paper describes the whole process, including the classification algorithms, training and the evaluation.
Kang Wei, Ruiquan Zhang, Xinguo Xu
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