Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yeong-Su Lee"'
Publikováno v:
Natural Language Engineering. :1-25
With the increase of user-generated content on social media, the detection of abusive language has become crucial and is therefore reflected in several shared tasks that have been performed in recent years. The development of automatic detection syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddd67d6a2ea3b7e8bfbb692f06c20987
https://doi.org/10.1017/s1351324923000098
https://doi.org/10.1017/s1351324923000098
Publikováno v:
Datenbank-Spektrum. 23:15-25
Abusive language detection has become an integral part of the research, as reflected in numerous publications and several shared tasks conducted in recent years. It has been shown that the obtained models perform well on the datasets on which they we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d15b5508f003309c1ba0be19439cac71
https://doi.org/10.1007/s13222-023-00438-1
https://doi.org/10.1007/s13222-023-00438-1
Autor:
Sang-Yong Lee, Bo-Kwang Chung, Jeong-Won Sung, Jin-Hyeon Im, Jeong-Won Jang, Jun-Gyu Bae, Jae-Hyeon Kim, Gi-Song Kim, Hong-Gyun Youn, Sin-Gu Gang, Yeong-Su Lee
Publikováno v:
Journal of the Korea Society of Environmental Restoration Technology. 18:111-133
This study was carried out to survey the vascular plants of Baekdudaegan Arboretum area. The results are as follows. The numbers of flora in this study area were summarized as 655 taxa including 95 families, 332 genera, 567 species, 5 subspecies, 72
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bfdd9cc7996bae598ccf41b6e8cbe6c
https://doi.org/10.13087/kosert.2015.18.6.111
https://doi.org/10.13087/kosert.2015.18.6.111
Publikováno v:
The Journal of Korean Institute of Electromagnetic Engineering and Science. 24:525-533
As the number of base stations for mobile communication services rapidly grows with the development of mobile communications and the increase of radio-use devices, there are hazardous concerns raised on the possible health effects of EMF(Electro-magn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50942d0fc2e941af06624d9b5acbe4a2
https://doi.org/10.5515/kjkiees.2013.24.5.525
https://doi.org/10.5515/kjkiees.2013.24.5.525
Publikováno v:
Multimedia Tools and Applications. 71:769-781
One of the most important research topics in Information Retrieval is term weighting for document ranking and retrieval, such as TFIDF, BM25, etc. We propose a term weighting method that utilizes past retrieval results consisting of the queries that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb6447bdf0f9ea83a890be796921dd88
https://doi.org/10.1007/s11042-013-1420-1
https://doi.org/10.1007/s11042-013-1420-1
Publikováno v:
The Journal of Korean Institute of Electromagnetic Engineering and Science. 22:1016-1019
In this paper, we predict a maximum electric field strength of WCDMA base station using a pilot channel in a code domain. In order to verify the feasibility of our method, we compare our predicted value on a self-designed test base station with a gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97166d1d8fbae9ef768c36cd2245e10f
https://doi.org/10.5515/kjkiees.2011.22.10.1016
https://doi.org/10.5515/kjkiees.2011.22.10.1016
Autor:
Michaela Geierhos, Yeong Su Lee
Publikováno v:
Modeling and Using Context ISBN: 9783642242786
CONTEXT
CONTEXT
This paper presents a novel linguistic information extraction approach exploiting analysts' stock ratings for statistical decision making. Over a period of one year, we gathered German stock analyst reports in order to determine market trends. Our go
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2ff9c3bd2dc5c1eecb8675d3f58ab6b
https://doi.org/10.1007/978-3-642-24279-3_19
https://doi.org/10.1007/978-3-642-24279-3_19
Autor:
Yeong Su Lee, Michaela Geierhos
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783642003813
CICLing
CICLing
This paper presents a system that uses the domain name of a German business website to locate its information pages (e.g. company profile, contact page, imprint) and then identifies business specific information. We therefore concentrate on the extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d0eda4dbf9750615038e7b4623bc8cd
https://doi.org/10.1007/978-3-642-00382-0_30
https://doi.org/10.1007/978-3-642-00382-0_30
Publikováno v:
2011 International Conference on Information Society (i-Society); 2011, p153-158, 6p
Publikováno v:
Scopus-Elsevier
SCM is a simple, modular and flexible system for web monitoring and customer interaction management. In our view, its main advantages are the following: It is completely web based. It combines all technologies, data, software agents and human agents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57c5d3aed83b3de4395fd59ff4e41b6c
http://www.scopus.com/inward/record.url?eid=2-s2.0-80052569504&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-80052569504&partnerID=MN8TOARS