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2020 – today
- 2021
[j11]Kento Sugimoto, Toshihiro Takeda, Jong-Hoon Oh, Shoya Wada
, Shozo Konishi, Asuka Yamahata, Shiro Manabe, Noriyuki Tomiyama, Takashi Matsunaga, Katsuyuki Nakanishi, Yasushi Matsumura:
Extracting clinical terms from radiology reports with deep learning. J. Biomed. Informatics 116: 103729 (2021)- [c53]Jong-Hoon Oh, Ryu Iida, Julien Kloetzer, Kentaro Torisawa:
BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks. ACL/IJCNLP (1) 2021: 2103-2115
2010 – 2019
- 2019
- [c52]Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer:
Exploiting Background Knowledge in Compact Answer Generation for Why-Questions. AAAI 2019: 142-151 - [c51]Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida, Kentaro Torisawa:
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts. ACL (1) 2019: 4227-4237 - [c50]Kazuma Kadowaki, Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer:
Event Causality Recognition Exploiting Multiple Annotators' Judgments and Background Knowledge. EMNLP/IJCNLP (1) 2019: 5815-5821 - 2018
- [c49]Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Ryu Iida, Canasai Kruengkrai, Julien Kloetzer:
Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions. AAAI 2018: 5803-5811 - 2017
- [c48]Canasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka:
Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks. AAAI 2017: 3466-3473 - [c47]Jong-Hoon Oh, Kentaro Torisawa, Canasai Kruengkrai, Ryu Iida, Julien Kloetzer:
Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering. WSDM 2017: 415-424 - 2016
- [c46]Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Ryu Iida, Masahiro Tanaka, Julien Kloetzer:
A Semi-Supervised Learning Approach to Why-Question Answering. AAAI 2016: 3022-3029 - [c45]Junta Mizuno, Masahiro Tanaka, Kiyonori Ohtake, Jong-Hoon Oh, Julien Kloetzer, Chikara Hashimoto, Kentaro Torisawa:
WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data. COLING (Demos) 2016: 263-267 - [c44]Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Canasai Kruengkrai, Julien Kloetzer:
Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network. EMNLP 2016: 1244-1254 - 2015
- [c43]Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Jong-Hoon Oh:
Generating Event Causality Hypotheses through Semantic Relations. AAAI 2015: 2396-2403 - [c42]Julien Kloetzer, Kentaro Torisawa, Chikara Hashimoto, Jong-Hoon Oh:
Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity. EMNLP 2015: 1649-1655 - [c41]Ryu Iida, Kentaro Torisawa, Chikara Hashimoto, Jong-Hoon Oh, Julien Kloetzer:
Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition. EMNLP 2015: 2179-2189 - 2014
- [c40]Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Motoki Sano, István Varga, Jong-Hoon Oh, Yutaka Kidawara:
Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features. ACL (1) 2014: 987-997 - [c39]Motoki Sano, Kentaro Torisawa, Julien Kloetzer, Chikara Hashimoto, István Varga, Jong-Hoon Oh:
Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy. COLING 2014: 1423-1434 - 2013
- [c38]István Varga, Motoki Sano, Kentaro Torisawa, Chikara Hashimoto, Kiyonori Ohtake, Takao Kawai, Jong-Hoon Oh, Stijn De Saeger:
Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster. ACL (1) 2013: 1619-1629 - [c37]Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Motoki Sano, Stijn De Saeger, Kiyonori Ohtake:
Why-Question Answering using Intra- and Inter-Sentential Causal Relations. ACL (1) 2013: 1733-1743 - [c36]Julien Kloetzer, Stijn De Saeger, Kentaro Torisawa, Chikara Hashimoto, Jong-Hoon Oh, Motoki Sano, Kiyonori Ohtake:
Two-Stage Method for Large-Scale Acquisition of Contradiction Pattern Pairs using Entailment. EMNLP 2013: 693-703 - 2012
- [c35]Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Takuya Kawada, Stijn De Saeger, Jun'ichi Kazama, Yiou Wang:
Why Question Answering using Sentiment Analysis and Word Classes. EMNLP-CoNLL 2012: 368-378 - [c34]Chikara Hashimoto, Kentaro Torisawa, Stijn De Saeger, Jong-Hoon Oh, Jun'ichi Kazama:
Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web. EMNLP-CoNLL 2012: 619-630 - 2011
- [c33]Stijn De Saeger, Kentaro Torisawa, Masaaki Tsuchida, Jun'ichi Kazama, Chikara Hashimoto, Ichiro Yamada, Jong-Hoon Oh, István Varga, Yulan Yan:
Relation Acquisition using Word Classes and Partial Patterns. EMNLP 2011: 825-835 - [c32]Ichiro Yamada, Jong-Hoon Oh, Chikara Hashimoto, Kentaro Torisawa, Jun'ichi Kazama, Stijn De Saeger, Takuya Kawada:
Extending WordNet with Hypernyms and Siblings Acquired from Wikipedia. IJCNLP 2011: 874-882 - [c31]Masaaki Tsuchida, Kentaro Torisawa, Stijn De Saeger, Jong-Hoon Oh, Jun'ichi Kazama, Chikara Hashimoto, Hayato Ohwada:
Toward Finding Semantic Relations not Written in a Single Sentence: An Inference Method using Auto-Discovered Rules. IJCNLP 2011: 902-910 - [i1]Key-Sun Choi, Hitoshi Isahara, Jong-Hoon Oh:
A Comparison of Different Machine Transliteration Models. CoRR abs/1110.1391 (2011) - 2010
- [c30]Jong-Hoon Oh, Ichiro Yamada, Kentaro Torisawa, Stijn De Saeger:
Co-STAR: A Co-training Style Algorithm for Hyponymy Relation Acquisition from Structured and Unstructured Text. COLING 2010: 842-850 - [c29]Ichiro Yamada, Chikara Hashimoto, Jong-Hoon Oh, Kentaro Torisawa, Kow Kuroda, Stijn De Saeger, Masaaki Tsuchida, Jun'ichi Kazama:
Generating information-rich taxonomy from Wikipedia. IUCS 2010: 97-104
2000 – 2009
- 2009
- [c28]Jong-Hoon Oh, Kiyotaka Uchimoto, Kentaro Torisawa:
Bilingual Co-Training for Monolingual Hyponymy-Relation Acquisition. ACL/IJCNLP 2009: 432-440 - [c27]Jong-Hoon Oh, Kiyotaka Uchimoto, Kentaro Torisawa:
Machine Transliteration using Target-Language Grapheme and Phoneme: Multi-engine Transliteration Approach. NEWS@IJCNLP 2009: 36-39 - [c26]Jong-Hoon Oh, Kiyotaka Uchimoto, Kentaro Torisawa:
Can Chinese Phonemes Improve Machine Transliteration?: A Comparative Study of English-to-Chinese Transliteration Models. EMNLP 2009: 658-667 - 2008
- [c25]Jong-Hoon Oh, Hitoshi Isahara:
Hypothesis Selection in Machine Transliteration: A Web Mining Approach. IJCNLP 2008: 233-240 - [c24]Jong-Hoon Oh, Daisuke Kawahara, Kiyotaka Uchimoto, Jun'ichi Kazama, Kentaro Torisawa:
Enriching Multilingual Language Resources by Discovering Missing Cross-Language Links in Wikipedia. Web Intelligence 2008: 322-328 - 2007
- [j10]Jong-Hoon Ahn, Jong-Hoon Oh, Seungjin Choi:
Learning principal directions: Integrated-squared-error minimization. Neurocomputing 70(7-9): 1372-1381 (2007) - [c23]Jong-Hoon Oh, Hitoshi Isahara:
Machine transliteration using multiple transliteration engines and hypothesis re-ranking. MTSummit 2007 - [c22]Masaki Murata, Jong-Hoon Oh, Qing Ma, Hitoshi Isahara:
Applying Multiple Characteristics and Techniques in the NICT Information Retrieval System at NTCIR-6. NTCIR 2007 - [c21]Jong-Hoon Oh, Hitoshi Isahara:
Validating Transliteration Hypotheses Using the Web: Web Counts vs. Web Mining. Web Intelligence 2007: 267-270 - 2006
- [j9]Jong-Hoon Oh, Key-Sun Choi, Hitoshi Isahara:
An Alignment Model for Extracting English-Korean Translations of Term Constituents. IEICE Trans. Inf. Syst. 89-D(12): 2972-2980 (2006) - [j8]Jong-Hoon Oh, Key-Sun Choi:
An ensemble of transliteration models for information retrieval. Inf. Process. Manag. 42(4): 980-1002 (2006) - [j7]Jong-Hoon Oh, Key-Sun Choi, Hitoshi Isahara:
A Comparison of Different Machine Transliteration Models. J. Artif. Intell. Res. 27: 119-151 (2006) - [j6]Jong-Hoon Oh, Key-Sun Choi, Hitoshi Isahara:
A machine transliteration model based on correspondence between graphemes and phonemes. ACM Trans. Asian Lang. Inf. Process. 5(3): 185-208 (2006) - [c20]Jong-Hoon Oh, Key-Sun Choi, Hitoshi Isahara:
Improving Machine Transliteration Performance by Using Multiple Transliteration Models. ICCPOL 2006: 85-96 - [c19]Jong-Hoon Oh, Hitoshi Isahara:
Extracting English-Korean Transliteration Pairs from Web Corpora. ICCPOL 2006: 222-233 - [c18]Jong-Hoon Oh, Key-Sun Choi, Hitoshi Isahara:
A Hybrid Model for Extracting Transliteration Equivalents from Parallel Corpora. TSD 2006: 119-126 - [c17]Jong-Hoon Oh, Hitoshi Isahara:
Mining the Web for Transliteration Lexicons: Joint-Validation Approach. Web Intelligence 2006: 254-261 - 2005
- [j5]Jong-Hoon Oh, Key-Sun Choi:
Machine Learning Based English-to-Korean Transliteration Using Grapheme and Phoneme Information. IEICE Trans. Inf. Syst. 88-D(7): 1737-1748 (2005) - [c16]Jong-Hoon Oh, Key-Sun Choi:
An Ensemble of Grapheme and Phoneme for Machine Transliteration. IJCNLP 2005: 450-461 - [c15]Jong-Hoon Oh, Key-Sun Choi:
Automatic Extraction of English-Korean Translations for Constituents of Technical Terms. IJCNLP (companion) 2005 - 2004
- [c14]Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh:
A new way of PCA: integrated-squared-error and EM algorithms. ICASSP (5) 2004: 777-780 - [c13]Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh:
A multiplicative up-propagation algorithm. ICML 2004 - 2003
- [j4]Jong-Hoon Oh, Key-Sun Choi:
A Statistical Model for Automatic Extraction of Korean Transliterated Foreign Words. Int. J. Comput. Process. Orient. Lang. 16(1): 41-62 (2003) - [j3]Jong-Hoon Ahn, Jong-Hoon Oh:
A Constrained EM Algorithm for Principal Component Analysis. Neural Comput. 15(1): 57-65 (2003) - 2002
- [c12]Jong-Hoon Oh, Key-Sun Choi:
Word Sense Disambiguation using Static and Dynamic Sense Vectors. COLING 2002 - [c11]Jong-Hoon Oh, Key-Sun Choi:
An English-Korean Transliteration Model Using Pronunciation and Contextual Rules. COLING 2002 - [c10]Jong-Hoon Oh, Saim Shin, Yong-Seok Choi, Key-Sun Choi:
Word Sense Disambiguation with Information Retrieval Technique. LREC 2002 - 2001
- [c9]Jong-Hoon Oh, Kyung-Soon Lee, Du-Seong Chang, Chung Won Seo, Key-Sun Choi:
TREC-10 Experiments at KAIST: Batch Filtering and Question Answering. TREC 2001 - 2000
- [c8]Jong-Hoon Oh, Kyung-Soon Lee, Key-Sun Choi:
Term Recognition Using Technical Dictionary Hierarchy. ACL 2000: 496-503 - [c7]Kyung-Soon Lee, Jong-Hoon Oh, Jin-Xia Huang, Jae-Ho Kim, Key-Sun Choi:
TREC-9 Experiments at KAIST: QA, CLIR and Batch Filtering. TREC 2000
1990 – 1999
- 1997
- [j2]Young-Hee Kim, Jae-Yoon Sim, Hong June Park, Jae-Ik Doh, Kun-Woo Park, Hyun-Woong Chung, Jong-Hoon Oh, Choon-Sik Oh, Seung-Han Ahn:
Analysis and prevention of DRAM latch-up during power-on. IEEE J. Solid State Circuits 32(1): 79-85 (1997) - [j1]Ho-Jun Song, Jung-Pill Kim, Jae-Jin Lee, Jong-Hoon Oh, Seung-Han Ahn, Inseok Hwang:
A 200 MHz register-based wave-pipelined 64 M synchronous DRAM. IEEE J. Solid State Circuits 32(1): 92-99 (1997) - [c6]Chulan Kwon, Jong-Hoon Oh:
Exact asymptotic estimates of the storage capacities of the committee machines with overlapping and non-overlapping receptive fields. ESANN 1997 - [c5]Yuansheng Xiong, Chulan Kwon, Jong-Hoon Oh:
The Storage Capacity of a Fully-Connected Committee Machine. NIPS 1997: 378-384 - [c4]Jong-Hoon Oh, H. Sebastian Seung:
Learning Generative Models with the Up-Propagation Algorithm. NIPS 1997: 605-611 - 1996
- [c3]Kukjin Kang, Jong-Hoon Oh:
Statistical Mechanics of the Mixture of Experts. NIPS 1996: 183-189 - 1995
- [c2]Kukjin Kang, Jong-Hoon Oh:
Learning by a Population of Perceptrons. COLT 1995: 297-300 - 1994
- [c1]Kyung-Hoon Kwon, Kukjin Kang, Jong-Hoon Oh:
Generalization in Partially Connected Layered Neural Networks. COLT 1994: 356-361
Coauthor Index
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