Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Doo Soon Kim"'
Publikováno v:
Journal of the Korea Real Estate Management Review. 23:121-137
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b6434b3bdc351970c252806a603d25d
https://doi.org/10.37642/jkremr.2021.23.6
https://doi.org/10.37642/jkremr.2021.23.6
Demand for image editing has been increasing as users' desire for expression is also increasing. However, for most users, image editing tools are not easy to use since the tools require certain expertise in photo effects and have complex interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1189fd9e6a60e2c0dfdea2b00547fb1
Autor:
Gamo, Bereket Roba1 bereketrg2@yahoo.com, Doo-Soon Kim1 civservant@kongju.ac.kr, Park, Duk-Byeong1 parkdb84@kongu.ac.kr
Publikováno v:
Journal of Rural & Community Development. 2019, Vol. 14 Issue 3, p109-125. 17p.
Since the first end-to-end neural coreference resolution model was introduced, many extensions to the model have been proposed, ranging from using higher-order inference to directly optimizing evaluation metrics using reinforcement learning. Despite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90dc86c578122c5fb62ff184d10c5497
http://arxiv.org/abs/2107.01700
http://arxiv.org/abs/2107.01700
Publikováno v:
NAACL-HLT
Multilingual models, such as M-BERT and XLM-R, have gained increasing popularity, due to their zero-shot cross-lingual transfer learning capabilities. However, their generalization ability is still inconsistent for typologically diverse languages and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae1aa0796e2fe46e86da9132c7a7b717
https://doi.org/10.18653/v1/2021.naacl-main.283
https://doi.org/10.18653/v1/2021.naacl-main.283
Autor:
Franck Dernoncourt, Varun Manjunatha, Lidan Wang, Walter Chang, Thien Huu Nguyen, Quan Hung Tran, Doo Soon Kim, Amir Pouran Ben Veyseh, Rajiv Jain
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783030757649
PAKDD (2)
PAKDD (2)
Event Argument Extraction (EAE) is the task of identifying roles of entity mentions/arguments in events evoked by trigger words. Most existing works have focused on sentence-level EAE, leaving document-level EAE (i.e., event triggers and arguments be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3855c78c4fb23a3c6a3f6c352820e488
https://doi.org/10.1007/978-3-030-75765-6_56
https://doi.org/10.1007/978-3-030-75765-6_56
Publikováno v:
EMNLP (1)
The ability to fuse sentences is highly attractive for summarization systems because it is an essential step to produce succinct abstracts. However, to date, summarizers can fail on fusing sentences. They tend to produce few summary sentences by fusi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f3aba8eb890d8f997d43d3ba55757d7
http://arxiv.org/abs/2010.03726
http://arxiv.org/abs/2010.03726
Autor:
Fei Liu, John Muchovej, Doo Soon Kim, Franck Dernoncourt, Walter Chang, Lidan Wang, Logan Lebanoff
Publikováno v:
ACL (student)
Fusing sentences containing disparate content is a remarkable human ability that helps create informative and succinct summaries. Such a simple task for humans has remained challenging for modern abstractive summarizers, substantially restricting the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f474d32409b7da5ca4948cdc4762a348
http://arxiv.org/abs/2006.05621
http://arxiv.org/abs/2006.05621
Autor:
Kyomin Jung, Franck Dernoncourt, Joongbo Shin, Trung Bui, Doo Soon Kim, Hwanhee Lee, Seunghyun Yoon
Publikováno v:
NAACL-HLT
In the automatic evaluation of generative question answering (GenQA) systems, it is difficult to assess the correctness of generated answers due to the free-form of the answer. Especially, widely used n-gram similarity metrics often fail to discrimin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67400dabb3908fab74c82b747935c01a
http://arxiv.org/abs/2005.00192
http://arxiv.org/abs/2005.00192
Many users communicate with chatbots and AI assistants in order to help them with various tasks. A key component of the assistant is the ability to understand and answer a user's natural language questions for question-answering (QA). Because data ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccb22bcf6424e41c454d8c1799c12311