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Open Information Extraction (OIE) aims to extract factual relational tuples from open-domain sentences. Downstream tasks use the extracted OIE tuples as facts, without examining the certainty of these facts. However, uncertainty/speculation is a comm
Externí odkaz:
http://arxiv.org/abs/2305.04181
Open Information Extraction (OIE) aims to extract relational tuples from open-domain sentences. Existing OIE systems split a sentence into tokens and recognize token spans as tuple relations and arguments. We instead propose Sentence as Chunk sequenc
Externí odkaz:
http://arxiv.org/abs/2305.03299
Publikováno v:
EMNLP 2022
Open Information Extraction (OpenIE) aims to extract relational tuples from open-domain sentences. Traditional rule-based or statistical models have been developed based on syntactic structures of sentences, identified by syntactic parsers. However,
Externí odkaz:
http://arxiv.org/abs/2212.02068
Scene text images have different shapes and are subjected to various distortions, e.g. perspective distortions. To handle these challenges, the state-of-the-art methods rely on a rectification network, which is connected to the text recognition netwo
Externí odkaz:
http://arxiv.org/abs/2211.05036
Scene text recognition (STR) involves the task of reading text in cropped images of natural scenes. Conventional models in STR employ convolutional neural network (CNN) followed by recurrent neural network in an encoder-decoder framework. In recent t
Externí odkaz:
http://arxiv.org/abs/2211.04963
Publikováno v:
In Computers in Biology and Medicine May 2024 174
Open Information Extraction (OpenIE) aims to extract structured relational tuples (subject, relation, object) from sentences and plays critical roles for many downstream NLP applications. Existing solutions perform extraction at sentence level, witho
Externí odkaz:
http://arxiv.org/abs/2105.04271
Safety and efficacy of the novel Alpha stent for the treatment of intracranial wide-necked aneurysm.
Autor:
Kim, Junhyung1 (AUTHOR), Kim, Jung-Jae1 (AUTHOR), Kim, Seung Won2 (AUTHOR), Choi, Jinyoung3 (AUTHOR), Kim, Hanki4 (AUTHOR), Kim, Jinwoo5 (AUTHOR), Chung, Joonho2 (AUTHOR) ns.joonho.chung@gmail.com
Publikováno v:
Scientific Reports. 4/16/2024, Vol. 14, p1-8. 8p.
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