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Automatic assessment of short answers based on computational and data mining approaches [PDF]
تصمیم گیری و تحقیق در عملیات, 2021 Purpose: Automatic short answer grading is known as the task of automatic assessment of answers based on natural language using computation methods and machine learning algorithms.
Hossein Sadr +2 more
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A COMPARISON OF SEMANTIC SIMILARITY MODELS IN EVALUATING CONCEPT SIMILARITY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The semantic similarities are important in concept definition, recognition, categorization, interpretation, and integration. Many semantic similarity models have been established to evaluate semantic similarities of objects or/and concepts.
Q. X. Xu, W. Z. Shi
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Advances in Multimedia, 2022 TF-IDF (term frequency-inverse document frequency) is one of the traditional text similarity calculation methods based on statistics. Because TF-IDF does not consider the semantic information of words, it cannot accurately reflect the similarity between ...
Fei Lan
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Semantic similarity prediction is better than other semantic similarity measures
Trans. Mach. Learn. Res., 2023 Accepted at TMLR: https://openreview.net/forum?id ...
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Short Text Semantic Similarity Measurement Approach Based on Semantic Network
مجلة بغداد للعلوم, 2022 Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with the large increase in the volume of textual data that is ...
Naamah Hussien Hameed +2 more
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Frontiers in Human Neuroscience, 2017 According to a recent study, semantic similarity between concrete entities correlates with the similarity of activity patterns in left middle IPS during category naming.
Veerle Neyens +14 more
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A Reputation Model of OSM Contributor Based on Semantic Similarity of Ontology Concepts
Applied Sciences, 2022 Due to their status as non-professionals, the reputations of Volunteered Geographic Information (VGI) contributors have a very important impact on data quality.
Yijiang Zhao +3 more
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Not just a matter of semantics: the relationship between visual similarity and semantic similarity
CoRR, 2018 Knowledge transfer, zero-shot learning and semantic image retrieval are methods that aim at improving accuracy by utilizing semantic information, e.g. from WordNet. It is assumed that this information can augment or replace missing visual data in the form of labeled training images because semantic similarity correlates with visual similarity.
Clemens-Alexander Brust, Joachim Denzler
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Semantic similarity in the biomedical domain: an evaluation across knowledge sources
BMC Bioinformatics, 2012 Background Semantic similarity measures estimate the similarity between concepts, and play an important role in many text processing tasks. Approaches to semantic similarity in the biomedical domain can be roughly divided into knowledge based and ...
Garla Vijay N, Brandt Cynthia
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Land, 2021 To accurately and formally represent the historical trajectory and present the current situation of land use/land cover (LULC), numerous types of classification standards for LULC have been developed by different nations, institutes, organizations, etc.;
Xiran Zhou, Xiao Xie, Yong Xue, Bing Xue
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