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Publikováno v:
Advances in Information Retrieval
Automatically recognizing an existing semantic relation (such as “is a”, “part of”, “property of”, “opposite of” etc.) between two arbitrary words (phrases, concepts, etc.) is an important task affecting many information retrieval and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::6207d280aa8f23f0784b81e27e461180
http://europepmc.org/articles/PMC7148207
http://europepmc.org/articles/PMC7148207
Automatically recognizing an existing semantic relation (e.g. "is a", "part of", "property of", "opposite of" etc.) between two words (phrases, concepts, etc.) is an important task affecting many NLP applications and has been subject of extensive exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::817176943f609b3aaffaa672afca4497
https://strathprints.strath.ac.uk/75898/1/Roussinov_etal_LREC_2021_Recognizing_semantic_relations_by_combining_transformers_and_fully_connected_models.pdf
https://strathprints.strath.ac.uk/75898/1/Roussinov_etal_LREC_2021_Recognizing_semantic_relations_by_combining_transformers_and_fully_connected_models.pdf
