12 results found
https://www.academia.edu/109398115/DARIAH_MultiCo_Multimodal_Corpus

…�������������� 245 Rafal Rzepka, Shinji Muraji and Akihiko Obayashi / Utilizing Wikipedia for Retrieving Synonyms of Trade Security-related Technical Terms ����������������������������������������������������������������������������������������������������������������������������…

https://www.academia.edu/102571000/Establishing_semantic_relatedness_through_ratings_react…

…word was chosen using semantic vectors created from a large Polish corpus (nkjp+wiki-forms-all-300-cbow-ns, http://dsmodels.nlp.ipipan.waw.pl) created for the CoDeS project (http://zil.ipipan.waw.pl/ CoDeS). First, 800 words with the highest cosine similarity scores with each tar…

https://www.academia.edu/74401277/Masked_Language_Modeling_and_the_Distributional_Hypothes…

… we use the original 16GB and target languages, LSTM language models lever- BookWiki corpus (the Toronto Books Corpus, Zhu age the latent hierarchical structure of the input to et al. 2015, plus English Wikipedia) from Liu et al. obtain better performance than a random, Zipfian (…

https://www.academia.edu/103471176/Semantic_Relatedness_Based_Query_Translation_Disambigua…

…Vol. 29, No. 1, (2020), pp. 1664 - 1680 KLD, their proposed methods (QE(MT), QE(Wiki), QE(PubMed)) that are depending on term selection using a linear regression model which its features are extracted from MT, Wiki, or PubMed. In KLD method, the top 7 ranked documents of CLEF col…

https://www.academia.edu/118432156/Tell_me_what_you_see_A_zero_shot_action_recognition_met…

… as an object concept description. Additionally, they proposed a combination of Wikipedia and dictionary data to compose action class descriptions using human supervision in this task. Hence, they could identify objects in videos and provide a representation based on their concep…