Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Cheoneum Park"'
Autor:
Cheoneum Park
Publikováno v:
ETRI Journal, Vol 45, Iss 1, Pp 93-104 (2023)
Coreference resolution is a task in discourse analysis that links several headwords used in any document object. We suggest pointer networks-based coreference resolution for Korean using multi-task learning (MTL) with an attention mechanism for a hie
Externí odkaz:
https://doaj.org/article/36dbd0fc7fb549ef94ce2349b83d9f25
Publikováno v:
ETRI Journal, Vol 43, Iss 6, Pp 1038-1048 (2021)
AbstractWe propose an end‐to‐end neural coreference resolution for the Korean language that uses an attention mechanism to point to the same entity. Because Korean is a head‐final language, we focused on a method that uses a pointer network bas
Externí odkaz:
https://doaj.org/article/9b8b4b318bcb40e0a2522eaffdaad6d1
Publikováno v:
ETRI Journal, Vol 42, Iss 6, Pp 899-911 (2020)
The data in tables are accurate and rich in information, which facilitates the performance of information extraction and question answering (QA) tasks. TableQA, which is based on tables, solves problems by understanding the table structure and search
Externí odkaz:
https://doaj.org/article/0dc6292192fa4c09a2014b9f1343ac16
Publikováno v:
ETRI Journal, Vol 41, Iss 6, Pp 771-781 (2019)
We propose the VS3‐NET model to solve the task of question answering questions with machine‐reading comprehension that searches for an appropriate answer in a given context. VS3‐NET is a model that trains latent variables for each question usin
Externí odkaz:
https://doaj.org/article/a28089dbf9e54571813db7b8e3470272
Autor:
Cheoneum Park, Changki Lee, Lynn Hong, Yigyu Hwang, Taejoon Yoo, Jaeyong Jang, Yunki Hong, Kyung‐Hoon Bae, Hyun‐Ki Kim
Publikováno v:
ETRI Journal, Vol 41, Iss 3, Pp 371-382 (2019)
Machine reading comprehension is the task of understanding a given context and finding the correct response in that context. A simple recurrent unit (SRU) is a model that solves the vanishing gradient problem in a recurrent neural network (RNN) using
Externí odkaz:
https://doaj.org/article/77037e5e13c74195b101e39c0e173f88
Publikováno v:
ETRI Journal, Vol 39, Iss 5, Pp 652-661 (2017)
A mention has a noun or noun phrase as its head and constructs a chunk that defines any meaning, including a modifier. Mention detection refers to the extraction of mentions from a document. In mentions, coreference resolution refers to determining a
Externí odkaz:
https://doaj.org/article/c7cc01c20ccb4f65b2cc9c1b84796b93
Autor:
Cheoneum Park, Juae Kim
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing.
End-to-end neural network-based approaches have recently demonstrated significant improvements in natural language processing (NLP). However, in the NLP application such as assistant systems, NLP components are still processed in order extract result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8a19cb4ede85500128c207aab726d29
https://doi.org/10.1145/3591206
https://doi.org/10.1145/3591206
Publikováno v:
ETRI Journal, Vol 43, Iss 6, Pp 1038-1048 (2021)
We propose an end‐to‐end neural coreference resolution for the Korean language that uses an attention mechanism to point to the same entity. Because Korean is a head‐final language, we focused on a method that uses a pointer network based on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f9d576c59479442e5885d5bf138243
https://doi.org/10.4218/etrij.2020-0282
https://doi.org/10.4218/etrij.2020-0282
Publikováno v:
Journal of KIISE. 47:1038-1043
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d857f7a46d5b14c84e8d78351a664b86
https://doi.org/10.5626/jok.2020.47.11.1038
https://doi.org/10.5626/jok.2020.47.11.1038
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e795f53d39a37243ea644204896abcb
https://doi.org/10.2139/ssrn.4263877
https://doi.org/10.2139/ssrn.4263877