Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Wonjin Yoon"'
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S10, Pp 55-65 (2019)
Abstract Background Finding biomedical named entities is one of the most essential tasks in biomedical text mining. Recently, deep learning-based approaches have been applied to biomedical named entity recognition (BioNER) and showed promising result
Externí odkaz:
https://doaj.org/article/d19891e15eac4b91aceaa6946d68f002
Autor:
Donghyeon Kim, Jinhyuk Lee, Chan Ho So, Hwisang Jeon, Minbyul Jeong, Yonghwa Choi, Wonjin Yoon, Mujeen Sung, Jaewoo Kang
Publikováno v:
IEEE Access, Vol 7, Pp 73729-73740 (2019)
The amount of biomedical literature is vast and growing quickly, and accurate text mining techniques could help researchers to efficiently extract useful information from the literature. However, existing named entity recognition models used by text
Externí odkaz:
https://doaj.org/article/b1e4f3c4937c423c8d952369aed597ac
Publikováno v:
Bioinformatics. 38:3794-3801
Current studies in extractive question answering (EQA) have modeled the single-span extraction setting, where a single answer span is a label to predict for a given question-passage pair. This setting is natural for general domain EQA as the majority
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa7bcb9031ca8e0cb83f328304f5e253
https://doi.org/10.1093/bioinformatics/btac397
https://doi.org/10.1093/bioinformatics/btac397
Autor:
Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard B. Freeman, Eric T. Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding
Publikováno v:
Journal of the Association for Information Science and Technology. 73:1065-1078
Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of resources requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::830888fb4c8818e5d9119008931e0545
https://doi.org/10.1002/asi.24612
https://doi.org/10.1002/asi.24612
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031136429
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e8bb8d14239d2a2472d3e9312095d5e
https://doi.org/10.1007/978-3-031-13643-6_16
https://doi.org/10.1007/978-3-031-13643-6_16
Publikováno v:
Database. 2022
Chemical identification involves finding chemical entities in text (i.e. named entity recognition) and assigning unique identifiers to the entities (i.e. named entity normalization). While current models are developed and evaluated based on article t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de5d9f44a1eac5eeb6d0f3b1756aa8fe
https://doi.org/10.1093/database/baac074
https://doi.org/10.1093/database/baac074
Autor:
Jaewoo Kang, Wonjin Yoon, Yonghwa Choi, Minbyul Jeong, Jinhyuk Lee, Miyoung Ko, Sean S. Yi, Mujeen Sung
Publikováno v:
NLP4COVID@EMNLP
The recent outbreak of the novel coronavirus is wreaking havoc on the world and researchers are struggling to effectively combat it. One reason why the fight is difficult is due to the lack of information and knowledge. In this work, we outline our e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aab551ef8b0b8e0d5a02777c98f6acf
http://arxiv.org/abs/2006.15830
http://arxiv.org/abs/2006.15830
Autor:
Wonjin Yoon, Yonghwa Choi, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chan Ho So, Mujeen Sung, Donghyeon Kim, Hwisang Jeon
Publikováno v:
IEEE Access, Vol 7, Pp 73729-73740 (2019)
The amount of biomedical literature is vast and growing quickly, and accurate text mining techniques could help researchers to efficiently extract useful information from the literature. However, existing named entity recognition models used by text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::211ce22aadcad7d8a87d1f847e1e6b09
https://ieeexplore.ieee.org/document/8730332/
https://ieeexplore.ieee.org/document/8730332/
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030438869
PKDD/ECML Workshops (2)
PKDD/ECML Workshops (2)
The recent success of question answering systems is largely attributed to pre-trained language models. However, as language models are mostly pre-trained on general domain corpora such as Wikipedia, they often have difficulty in understanding biomedi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ab3b2fc3e3845323f6b05c5ce6bfbae
https://doi.org/10.1007/978-3-030-43887-6_64
https://doi.org/10.1007/978-3-030-43887-6_64
Publikováno v:
Bioinformatics
Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows. With the progress in natural language processing (NLP), extracting valuable information from biomedical literature has gained popularity am
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7176123b4c09770623bfd6b80a9f3aa5
http://arxiv.org/abs/1901.08746
http://arxiv.org/abs/1901.08746