Results 21 to 30 of about 1,924,192 (245)
Effective Approaches to Neural Query Language Identification
Computational Linguistics, 2022 Query language identification (Q-LID) plays a crucial role in a cross-lingual search engine. There exist two main challenges in Q-LID: (1) insufficient contextual information in queries for disambiguation; and (2) the lack of query-style training ...
Xingzhang Ren +6 more
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Development of the information system for the Kazakh language preprocessing
Cogent Engineering, 2021 The aim of this work is the design and development of linguistic resources and preprocessing tools for the Kazakh language. The media-corpus of the Kazakh language is presented as a linguistic resource, which is available on Al-Farabi Kazakh National ...
Darkhan Akhmed-Zaki +4 more
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Quranic Ontologies: A Scoping Review of the Applications [PDF]
کتابداری و اطلاعرسانی, 2023 Objective: The purpose is to provide a comprehensive view of the applications of Quranic ontologies, through the identification and analysis of research related to the various uses of operational Quranic ontologies, for researchers in the theoretical and
Ali Mirarab +2 more
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Combining dependency and constituent-based resources for structure disambiguation [PDF]
2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2002 Unrestricted text analysis requires an accurate syntactic analysis but structural ambiguity is one of the most difficult problems to resolve. Researchers have tried different approaches to obtain the correct syntactic structure from analyzed sentences but no successful results have been obtained.
S.N. Galicia-Haro +2 more
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Improving the Performance of Vietnamese–Korean Neural Machine Translation with Contextual Embedding
Applied Sciences, 2021 With the recent evolution of deep learning, machine translation (MT) models and systems are being steadily improved. However, research on MT in low-resource languages such as Vietnamese and Korean is still very limited.
Van-Hai Vu +3 more
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Word Sense Disambiguation Using Heterogeneous Language Resources [PDF]
, 2005 This paper proposes a robust method for word sense disambiguation (WSD) of Japanese. Four classifiers were combined in order to improve recall and applicability: one used example sentences in a machine readable dictionary (MRD), one used grammatical information in an MRD, and two classifiers were obtained by supervised learning from a sense-tagged ...
Kiyoaki Shirai, Takayuki Tamagaki
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Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation
Journal of Integrative Bioinformatics, 2017 Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems.
Antunes Rui, Matos Sérgio
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Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs
IEEE Access, 2022 Most Knowledge Graph-based Question Answering (KGQA) systems rely on training data to reach their optimal performance. However, acquiring training data for supervised systems is both time-consuming and resource-intensive.
Md Rashad Al Hasan Rony +3 more
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From Word to Sense Embeddings: A Survey on Vector Representations of Meaning [PDF]
, 2018 Over the past years, distributed semantic representations have proved to be effective and flexible keepers of prior knowledge to be integrated into downstream applications. This survey focuses on the representation of meaning.
Camacho-Collados, Jose +1 more
core +3 more sources
Biology, 2022 The increasing incorporation of omics technologies into biomedical research and translational medicine presents challenges to end users of the large and complex datasets that are generated by these methods.
Joshua D. Breidenbach +3 more
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