[ad_1] Introduction In recent years, there has been a growing interest in reinforcement learning as a method for adaptive control in complex and uncertain environments. Reinforcement learning is a type of machine learning that enables…
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[ad_1] Introduction Document classification is the process of categorizing text documents into different predefined classes or categories. It is a fundamental task in information retrieval and natural language processing, with applications in various fields such…
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[ad_1] Introduction Document clustering is the process of grouping similar documents together based on their content or attributes. This technique is widely used in various applications such as information retrieval, text mining, and document organization.…
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[ad_1] Introduction Keyword extraction is a crucial process in document indexing that involves identifying and extracting the most relevant terms from a document to facilitate efficient information retrieval and organization. With the exponential growth of…
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[ad_1] Introduction In the era of big data, the need for efficient document discovery tools has become increasingly important. Topic modeling is a powerful technique that allows researchers to automatically discover the underlying themes or…
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[ad_1] Introduction: Word sense disambiguation (WSD) is a crucial task in the field of lexical semantics, with the objective of determining the correct sense of a word within a given context. The ambiguity of natural…
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[ad_1] Introduction Part-of-speech tagging is a fundamental task in natural language processing that involves assigning grammatical categories such as noun, verb, adjective, etc., to words in a text. This process plays a crucial role in…
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[ad_1] Introduction Coreference resolution is the task of determining when two or more expressions in a text refer to the same entity. This is a crucial component in natural language processing systems, as it helps…
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[ad_1] Introduction Relation extraction is a critical task in natural language processing and information extraction that involves identifying and extracting relationships between entities mentioned in text. This process plays a crucial role in knowledge base…
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[ad_1] Introduction: Named Entity Recognition (NER) is a crucial task in the field of natural language processing (NLP) and information extraction. It involves identifying and classifying named entities such as people, organizations, locations, and dates…
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