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2020 – today
- 2024
[j57]Choongwon Park
, Youngjoong Ko:
Query-focused summarization with the context-graph information fusion transformer. Expert Syst. Appl. 241: 122699 (2024)- [j56]Jinyoung Kim, Youngjoong Ko:
SPACE: Senti-Prompt As Classifying Embedding for sentiment analysis. Pattern Recognit. Lett. 180: 62-67 (2024) - [j55]Youngjae Chang, Youngjoong Ko:
Two-Step Masked Language Model for Domain-Adapting Multi-Modal Task-Oriented Dialogue Systems. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2938-2943 (2024) - [c34]Dooyoung Kim, Yoonjin Jang, Dongwook Shin, Chanhoon Park, Youngjoong Ko:
Hyper-QKSG: Framework for Automating Query Generation and Knowledge-Snippet Extraction from Tables and Lists. EMNLP (Industry Track) 2024: 1351-1360 - [c33]Bonggeun Choi, JeongJae Park, Yoonsung Kim, Jaehyun Park, Youngjoong Ko:
RAC: Retrieval-augmented Conversation Dataset for Open-domain Question Answering in Conversational Settings. EMNLP (Industry Track) 2024: 1477-1488 - 2023
- [j54]Taesuk Hong, Junhee Cho, Haeun Yu, Youngjoong Ko, Jungyun Seo:
Knowledge-grounded dialogue modelling with dialogue-state tracking, domain tracking, and entity extraction. Comput. Speech Lang. 78: 101460 (2023) - [j53]Bosung Kim, Hyewon Choi, Haeun Yu, Youngjoong Ko:
Graph-based query reformulation system for descriptive queries of jargon words using definitions. Expert Syst. Appl. 214: 119149 (2023) - [j52]Taehun Huh, Youngjoong Ko:
Efficient framework for low-resource abstractive summarization by meta-transfer learning and pointer-generator networks. Expert Syst. Appl. 234: 121029 (2023) - [j51]Bonggeun Choi, Youngjoong Ko:
Knowledge graph extension with a pre-trained language model via unified learning method. Knowl. Based Syst. 262: 110245 (2023) - [j50]Haeun Yu, Youngjoong Ko:
Enriching the dialogue state tracking model with a asyntactic discourse graph. Pattern Recognit. Lett. 169: 81-86 (2023) - [j49]Kyuri Choi, Youngjoong Ko:
Meta-learning with topic-agnostic representations for zero-shot stance detection. Pattern Recognit. Lett. 171: 15-20 (2023) - [j48]Junhee Cho, Youngjoong Ko:
Dicer: Dialogue-Centric Representation for Knowledge-Grounded Dialogue through Contrastive Learning. Pattern Recognit. Lett. 172: 151-157 (2023) - [c32]Jaeah You, Youngjoong Ko:
Topic-Informed Dialogue Summarization using Topic Distribution and Prompt-based Modeling. EMNLP (Findings) 2023: 5657-5663 - [c31]Sunyoung Park, Kyuri Choi, Haeun Yu, Youngjoong Ko:
Never Too Late to Learn: Regularizing Gender Bias in Coreference Resolution. WSDM 2023: 15-23 - 2022
- [j47]Meoungjun Kim, Youngjoong Ko:
Multitask Fine-Tuning for Passage Re-Ranking Using BM25 and Pseudo Relevance Feedback. IEEE Access 10: 54254-54262 (2022) - [j46]Bosung Kim, Youngjoong Ko, Jungyun Seo:
Novel regularization method for the class imbalance problem. Expert Syst. Appl. 188: 115974 (2022) - [j45]Yeongjoon Park, Youngjoong Ko, Jungyun Seo:
BERT-based response selection in dialogue systems using utterance attention mechanisms. Expert Syst. Appl. 209: 118277 (2022) - [j44]Hyewon Choi, Youngjoong Ko:
Effective fake news video detection using domain knowledge and multimodal data fusion on youtube. Pattern Recognit. Lett. 154: 44-52 (2022) - [c30]Choongwon Park, Youngjoong Ko:
QSG Transformer: Transformer with Query-Attentive Semantic Graph for Query-Focused Summarization. SIGIR 2022: 2589-2594 - [c29]Taehun Huh, Youngjoong Ko:
Lightweight Meta-Learning for Low-Resource Abstractive Summarization. SIGIR 2022: 2629-2633 - 2021
- [j43]Bonggeun Choi, Daesik Jang, Youngjoong Ko:
MEM-KGC: Masked Entity Model for Knowledge Graph Completion With Pre-Trained Language Model. IEEE Access 9: 132025-132032 (2021) - [j42]Hyewon Choi, Youngjoong Ko:
Using Adversarial Learning and Biterm Topic Model for an Effective Fake News Video Detection System on Heterogeneous Topics and Short Texts. IEEE Access 9: 164846-164853 (2021) - [j41]Sunjae Kwon, Dongsuk Oh, Youngjoong Ko:
Word sense disambiguation based on context selection using knowledge-based word similarity. Inf. Process. Manag. 58(4): 102551 (2021) - [j40]Juryong Cheon, Youngjoong Ko:
Parallel sentence extraction to improve cross-language information retrieval from Wikipedia. J. Inf. Sci. 47(2) (2021) - [j39]Gihwan Kim, Youngjoong Ko:
Effective fake news detection using graph and summarization techniques. Pattern Recognit. Lett. 151: 135-139 (2021) - [c28]Bosung Kim, Juae Kim, Youngjoong Ko, Jungyun Seo:
Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning. AAAI 2021: 6393-6401 - [c27]Bosung Kim, Hyewon Choi, Haeun Yu, Youngjoong Ko:
Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary. CIKM 2021: 854-862 - [c26]Hyewon Choi, Youngjoong Ko:
Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection. CIKM 2021: 2950-2954 - [c25]Meoungjun Kim, Youngjoong Ko:
Self-supervised Fine-tuning for Efficient Passage Re-ranking. CIKM 2021: 3142-3146 - [c24]Dongcheol Son, Youngjoong Ko:
Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation. CIKM 2021: 3428-3432 - [c23]Gihwan Kim, Youngjoong Ko:
Graph-based Fake News Detection using a Summarization Technique. EACL 2021: 3276-3280 - [c22]Janghoon Han, Taesuk Hong, Byoungjae Kim, Youngjoong Ko, Jungyun Seo:
Fine-grained Post-training for Improving Retrieval-based Dialogue Systems. NAACL-HLT 2021: 1549-1558 - 2020
- [j38]Juae Kim, Youngjoong Ko, Jungyun Seo:
Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning. IEEE Access 8: 59684-59693 (2020) - [j37]Seungwook Lee, Youngjoong Ko:
Named-Entity Recognition Using Automatic Construction of Training Data From Social Media Messaging Apps. IEEE Access 8: 222724-222732 (2020) - [j36]Hongyeon Yu, Jaehyun An, Jeongmin Yoon, Hyemin Kim, Youngjoong Ko:
Simple methods to overcome the limitations of general word representations in natural language processing tasks. Comput. Speech Lang. 59: 91-113 (2020) - [c21]Bosung Kim, Taesuk Hong, Youngjoong Ko, Jungyun Seo:
Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models. COLING 2020: 1737-1743
2010 – 2019
- 2019
- [j35]Juae Kim, Youngjoong Ko, Jungyun Seo:
A Bootstrapping Approach With CRF and Deep Learning Models for Improving the Biomedical Named Entity Recognition in Multi-Domains. IEEE Access 7: 70308-70318 (2019) - [j34]Hongseon Yeom, Youngjoong Ko, Jungyun Seo:
Unsupervised-learning-based keyphrase extraction from a single document by the effective combination of the graph-based model and the modified C-value method. Comput. Speech Lang. 58: 304-318 (2019) - [j33]Guanghao Xu, Youngjoong Ko, Jungyun Seo:
Improving Neural Machine Translation by Filtering Synthetic Parallel Data. Entropy 21(12): 1213 (2019) - [j32]Kyoungman Bae, Youngjoong Ko:
Improving question retrieval in community question answering service using dependency relations and question classification. J. Assoc. Inf. Sci. Technol. 70(11): 1194-1209 (2019) - [j31]Kyoungman Bae, Youngjoong Ko:
Efficient question classification and retrieval using category information and word embedding on cQA services. J. Intell. Inf. Syst. 53(1): 27-49 (2019) - [j30]Sunjae Kwon, Youngjoong Ko, Jungyun Seo:
Effective vector representation for the Korean named-entity recognition. Pattern Recognit. Lett. 117: 52-57 (2019) - [j29]Hyemin Kim, Seon Yang, Youngjoong Ko:
How to utilize syllable distribution patterns as the input of LSTM for Korean morphological analysis. Pattern Recognit. Lett. 120: 39-45 (2019) - 2018
- [j28]Changsu Lee, Youngjoong Ko:
Spoken Language Understanding with a Novel Simultaneous Recognition Technique for Intelligent Personal Assistant Software. Int. J. Artif. Intell. Tools 27(3): 1850009:1-1850009:15 (2018) - [j27]Hyoungil Jeong, Youngjoong Ko, Jungyun Seo:
Statistical Text Summarization Using a Category-Based Language Model on a Bootstrapping Framework. Int. J. Artif. Intell. Tools 27(3): 1850014:1-1850014:15 (2018) - [j26]Kyoungman Bae, Youngjoong Ko:
Speech-Act Classification Using Convolutional Neural Network and Word Embedding. Int. J. Artif. Intell. Tools 27(6): 1850026:1-1850026:12 (2018) - [c20]Dongsuk O, Sunjae Kwon, Kyungsun Kim, Youngjoong Ko:
Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based Graph. COLING 2018: 2704-2714 - 2017
- [j25]Juryong Cheon, Youngjoong Ko:
Automatically Extracting Parallel Sentences from Wikipedia Using Sequential Matching of Language Resources. IEICE Trans. Inf. Syst. 100-D(2): 405-408 (2017) - [j24]Kyoungman Bae, Youngjoong Ko:
Improving Question Retrieval in cQA Services Using a Dependency Parser. IEICE Trans. Inf. Syst. 100-D(4): 807-810 (2017) - [j23]Donghyun Yoo, Youngjoong Ko, Jungyun Seo:
Speech-Act Classification Using a Convolutional Neural Network Based on POS Tag and Dependency-Relation Bigram Embedding. IEICE Trans. Inf. Syst. 100-D(12): 3081-3084 (2017) - [j22]Youngjoong Ko:
How to use negative class information for Naive Bayes classification. Inf. Process. Manag. 53(6): 1255-1268 (2017) - [c19]Sunjae Kwon, Youngjoong Ko, Jungyun Seo:
A Robust Named-Entity Recognition System Using Syllable Bigram Embedding with Eojeol Prefix Information. CIKM 2017: 2139-2142 - [c18]Juae Kim, Sunjae Kwon, Youngjoong Ko, Jungyun Seo:
A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains. DDDSM@IJCNLP 2017: 47-51 - 2016
- [j21]Hyoungil Jeong, Youngjoong Ko, Jungyun Seo:
How to Improve Text Summarization and Classification by Mutual Cooperation on an Integrated Framework. Expert Syst. Appl. 60: 222-233 (2016) - [j20]Kyoungman Bae, Youngjoong Ko:
How to Combine Translation Probabilities and Question Expansion for Question Classification in cQA Services. IEICE Trans. Inf. Syst. 99-D(4): 1019-1022 (2016) - 2015
- [j19]Hyoungil Jeong, Youngjoong Ko, Jungyun Seo:
Efficient Keyword Extraction and Text Summarization for Reading Articles on Smart Phone. Comput. Informatics 34(4): 779-794 (2015) - [j18]Sungho Kim, Youngjoong Ko, Douglas W. Oard:
Combining lexical and statistical translation evidence for cross-language information retrieval. J. Assoc. Inf. Sci. Technol. 66(1): 23-39 (2015) - [j17]Youngjoong Ko:
A new term-weighting scheme for text classification using the odds of positive and negative class probabilities. J. Assoc. Inf. Sci. Technol. 66(12): 2553-2565 (2015) - [j16]Youngjoong Ko:
New feature weighting approaches for speech-act classification. Pattern Recognit. Lett. 51: 107-111 (2015) - [c17]Changsu Lee, Youngjoong Ko, Jungyun Seo:
A Simultaneous Recognition Framework for the Spoken Language Understanding Module of Intelligent Personal Assistant Software on Smart Phones. ACL (2) 2015: 818-822 - 2014
- [j15]Seon Yang, Youngjoong Ko:
Classifying Korean comparative sentences for comparison analysis. Nat. Lang. Eng. 20(4): 557-581 (2014) - [c16]Kyoungman Bae, Youngjoong Ko:
An Effective Question Expanding Method for Question Classification in cQA services. PIKM@CIKM 2014: 51-55 - 2013
- [j14]Sangwoo Kang, Youngjoong Ko, Jungyun Seo:
A dialogue management system using a corpus-based framework and a dynamic dialogue transition model. AI Commun. 26(2): 145-159 (2013) - [j13]Sangwoo Kang, Youngjoong Ko, Jungyun Seo:
Hierarchical speech-act classification for discourse analysis. Pattern Recognit. Lett. 34(10): 1119-1124 (2013) - 2012
- [j12]Shinil Kim, Seon Yang, Youngjoong Ko:
Classifying Mathematical Expressions Written in MathML. IEICE Trans. Inf. Syst. 95-D(10): 2560-2563 (2012) - [c15]Kyoungman Bae, Youngjoong Ko:
An effective category classification method based on a language model for question category recommendation on a cQA service. CIKM 2012: 2255-2258 - [c14]Shinil Kim, Seon Yang, Youngjoong Ko:
Mathematical equation retrieval using plain words as a query. CIKM 2012: 2407-2410 - [c13]Youngjoong Ko:
A study of term weighting schemes using class information for text classification. SIGIR 2012: 1029-1030 - 2011
- [j11]Youngjoong Ko, Jungyun Seo:
Issues and Empirical Results for Improving Text Classification. J. Comput. Sci. Eng. 5(2): 150-160 (2011) - [j10]Seon Yang, Youngjoong Ko:
Finding relevant features for Korean comparative sentence extraction. Pattern Recognit. Lett. 32(2): 293-296 (2011) - [c12]Seon Yang, Youngjoong Ko:
Extracting Comparative Entities and Predicates from Texts Using Comparative Type Classification. ACL 2011: 1636-1644
2000 – 2009
- 2009
- [j9]Youngjoong Ko, Jungyun Seo:
Text classification from unlabeled documents with bootstrapping and feature projection techniques. Inf. Process. Manag. 45(1): 70-83 (2009) - [c11]Seon Yang, Youngjoong Ko:
Extracting Comparative Sentences from Korean Text Documents Using Comparative Lexical Patterns and Machine Learning Techniques. ACL/IJCNLP (2) 2009: 153-156 - 2008
- [j8]Youngjoong Ko, Hongkuk An, Jungyun Seo:
Pseudo-relevance feedback and statistical query expansion for web snippet generation. Inf. Process. Lett. 109(1): 18-22 (2008) - [j7]Youngjoong Ko, Jungyun Seo:
An effective sentence-extraction technique using contextual information and statistical approaches for text summarization. Pattern Recognit. Lett. 29(9): 1366-1371 (2008) - [c10]Sangwoo Kang, Youngjoong Ko, Jungyun Seo:
A Plan-Based Dialogue Model Using a Discourse Stack for Intelligent Human-Robot Interface Development. ALPIT 2008: 162-167 - 2007
- [j6]Youngjoong Ko, Sooyong Park, Jungyun Seo, Soonhwang Choi:
Using classification techniques for informal requirements in the requirements analysis-supporting system. Inf. Softw. Technol. 49(11-12): 1128-1140 (2007) - [j5]Hyoungdong Han, Youngjoong Ko, Jungyun Seo:
Using the revised EM algorithm to remove noisy data for improving the one-against-the-rest method in binary text classification. Inf. Process. Manag. 43(5): 1281-1293 (2007) - [c9]Youngjoong Ko, Hongkuk An, Jungyun Seo:
An effective snippet generation method using the pseudo relevance feedback technique. SIGIR 2007: 711-712 - 2006
- [j4]Bojun Shim, Youngjoong Ko, Jungyun Seo:
Using IS-A Relation Patterns for Factoid Questions in Question Answering Systems. IEICE Trans. Inf. Syst. 89-D(12): 2985-2989 (2006) - 2005
- [c8]Bojun Shim, Youngjoong Ko, Jungyun Seo:
Extracting and Utilizing of IS-A Relation Patterns for Question Answering Systems. AIRS 2005: 697-702 - [c7]Kyungsun Kim, Youngjoong Ko, Jungyun Seo:
Improving Korean Speech Acts Analysis by Using Shrinkage and Discourse Stack. IJCNLP 2005: 731-741 - 2004
- [j3]Youngjoong Ko, Jinwoo Park, Jungyun Seo:
Improving text categorization using the importance of sentences. Inf. Process. Manag. 40(1): 65-79 (2004) - [j2]Youngjoong Ko, Jungyun Seo:
Using the feature projection technique based on a normalized voting method for text classification. Inf. Process. Manag. 40(2): 191-208 (2004) - [c6]Youngjoong Ko, Jungyun Seo:
Learning with Unlabeled Data for Text Categorization Using a Bootstrapping and a Feature Projection Technique. ACL 2004: 255-262 - [c5]Wooncheol Jung, Youngjoong Ko, Jungyun Seo:
Automatic Text Summarization Using Two-Step Sentence Extraction. AIRS 2004: 71-81 - 2002
- [c4]Youngjoong Ko, Jinwoo Park, Jungyun Seo:
Automatic Text Categorization using the Importance of Sentences. COLING 2002 - [c3]Youngjoong Ko, Jungyun Seo:
Text Categorization using Feature Projections. COLING 2002 - 2001
- [c2]Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim, Jungyun Seo:
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules. NLPRS 2001: 229-236 - 2000
- [j1]Sooyong Park, Harksoo Kim, Youngjoong Ko, Jungyun Seo:
Implementation of an efficient requirements-analysis supporting system using similarity measure techniques. Inf. Softw. Technol. 42(6): 429-438 (2000) - [c1]Youngjoong Ko, Jungyun Seo:
Automatic Text Categorization by Unsupervised Learning. COLING 2000: 453-459
Coauthor Index
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