Results 21 to 30 of about 4,525,819 (292)
All mixed up? Finding the optimal feature set for general readability prediction and its application to English and Dutch [PDF]
, 2016 Readability research has a long and rich tradition, but there has been too little focus on general readability prediction without targeting a specific audience or text genre.
De Clercq, Orphée, Hoste, Veronique
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Многоязычие в образовательном пространстве, 2023 The study concerns one of the problems connected with translating advertising discourse, which presents a popular type of contemporary interlingual and cross-cultural communication.
N.M. Shutova, A.A. Eltsova
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Generating SD-Rules in the SPECIALIST Lexical Tools - Optimization for Suffix Derivation Rule Set
International Conference on Health Informatics, 2016 Suffix derivations (SDs) are used with query expansion in concept mapping as an effective Natural Language Processing (NLP) technique to improve recall without sacrificing precision.
Chris J. Lu +3 more
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A Deep Learning Model for Classifying the Hate and Offensive Language in Social Media Text
Ratio Mathematica, 2022 Recently, we had introduced a model for identifying and removal of toxic content from twitter, using an Information Retrieval (IR) model SOIR (Semantic query Optimization-based Information Retrieval).
Nidhi Bhandari
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Survey of Automatic Labeling Methods for Topic Models [PDF]
Jisuanji kexue yu tansuo, 2023 Topic models are often used in modeling unstructured corpora and discrete data to extract the latent topic. As topics are generally expressed in the form of word lists, it is usually difficult for users to understand the meanings of topics, especially ...
HE Dongbin, TAO Sha, ZHU Yanhong, REN Yanzhao, CHU Yunxia
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IEEE Open Journal of Engineering in Medicine and Biology, 2020 Goal: To present a framework for data sharing, curation, harmonization and federated data analytics to solve open issues in healthcare, such as, the development of robust disease prediction models.
Vasileios C. Pezoulas +11 more
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Optimizing the computational lexicalization of large grammars [PDF]
Proceedings of the 32nd annual meeting on Association for Computational Linguistics -, 1994 The computational lexicalization of a grammar is the optimization of the links between lexicalized rules and lexical items in order to improve the quality of the bottom-up filtering during parsing. This problem is NP-complete and untractable on large grammars. An approximation algorithm is presented.
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Open Mind, 2020 There has been much work over the last century on optimization of the lexicon for efficient communication, with a particular focus on the form of words as an evolving balance between production ease and communicative accuracy. Zipf’s law of abbreviation,
King, Adam, Wedel, Andrew
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Analogical Sound Changes in Persian Verbs: An Optimality Theoretic Account [PDF]
نشریه پژوهشهای زبانشناسی, 2021 In this study, 7 kinds of Persian analogical sound changes have been detected and classified in 12 analogical patterns in a set of 80 simple verbs. Those changes then have been analyzed based on two different but related optimality theoretic approaches ...
Fahimeh Khodaverdi +2 more
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IEEE Symposium on Security and Privacy, 2019 Reverse engineering is a manually intensive but necessary technique for understanding the inner workings of new malware, finding vulnerabilities in existing systems, and detecting patent infringements in released software. An assembly clone search engine
Steven H. H. Ding, B. Fung, P. Charland
semanticscholar +1 more source