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Retno Kusumaningrum, Selvi Fitria Khoerunnisa, Khadijah Khadijah and Muhammad Syafrudin
The mangrove ecosystem is crucial for addressing climate change and supporting marine life. To preserve this ecosystem, understanding community awareness is essential. While latent Dirichlet allocation (LDA) is commonly used for this, it has drawbacks su...
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Emilio Matricciani
We propose that short-term memory (STM), when processing a sentence, uses two independent units in series. The clues for conjecturing this model emerge from studying many novels from Italian and English Literature. This simple model, referring to the sur...
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Jonghyeon Yang, Hanme Jang and Kiyun Yu
Recently, open-domain question-answering systems have achieved tremendous progress because of developments in large language models (LLMs), and have successfully been applied to question-answering (QA) systems, or Chatbots. However, there has been little...
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Siyuan Du and Hao Wang
State-of-the-art methods for metonymy resolution (MR) consider the sentential context by modeling the entire sentence. However, entity representation, or syntactic structure that are informative may be beneficial for identifying metonymy. Other approache...
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Jesús Calvillo, Harm Brouwer and Matthew W. Crocker
Decades of studies trying to define the extent to which artificial neural networks can exhibit systematicity suggest that systematicity can be achieved by connectionist models but not by default. Here we present a novel connectionist model of sentence pr...
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Svetlana S. Bodrunova, Andrey V. Orekhov, Ivan S. Blekanov, Nikolay S. Lyudkevich and Nikita A. Tarasov
The paper is dedicated to solving the problem of optimal text classification in the area of automated detection of typology of texts. In conventional approaches to topicality-based text classification (including topic modeling), the number of clusters is...
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