Jung-jae Kim

Also published as: Jung-Jae Kim


2022

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Syntactic Multi-view Learning for Open Information Extraction
Kuicai Dong | Aixin Sun | Jung-Jae Kim | Xiaoli Li
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Open Information Extraction (OpenIE) aims to extract relational tuples from open-domain sentences. Traditional rule-based or statistical models were developed based on syntactic structure of sentence, identified by syntactic parsers. However, previous neural OpenIE models under-explored the useful syntactic information. In this paper, we model both constituency and dependency trees into word-level graphs, and enable neural OpenIE to learn from the syntactic structures. To better fuse heterogeneous information from the two graphs, we adopt multi-view learning to capture multiple relationships from them. Finally, the finetuned constituency and dependency representations are aggregated with sentential semantic representations for tuple generation. Experiments show that both constituency and dependency information, and the multi-view learning are effective.

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taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning
Chen Tao | Jung-jae Kim
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)

We present a multi-modal deep learning system for the Multimedia Automatic Misogyny Identification (MAMI) challenge, a SemEval task of identifying and classifying misogynistic messages in online memes. We adapt multi-task learning for the multimodal subtasks of the MAMI challenge to transfer knowledge among the correlated subtasks. We also leverage on ensemble learning for synergistic integration of models individually trained for the subtasks. We finally discuss about errors of the system to provide useful insights for future work.

2021

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DocOIE: A Document-level Context-Aware Dataset for OpenIE
Kuicai Dong | Zhao Yilin | Aixin Sun | Jung-Jae Kim | Xiaoli Li
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

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Analyzing Code Embeddings for Coding Clinical Narratives
Wei Shi | Jiewen Wu | Xiwen Yang | Nancy Chen | Ivan Ho Mien | Jung-Jae Kim | Pavitra Krishnaswamy
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

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Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation
Xin Huang | Jung-Jae Kim | Bowei Zou
Findings of the Association for Computational Linguistics: EMNLP 2021

Complex question answering over knowledge base remains as a challenging task because it involves reasoning over multiple pieces of information, including intermediate entities/relations and other constraints. Previous methods simplify the SPARQL query of a question into such forms as a list or a graph, missing such constraints as “filter” and “order_by”, and present models specialized for generating those simplified forms from a given question. We instead introduce a novel approach that directly generates an executable SPARQL query without simplification, addressing the issue of generating unseen entities. We adapt large scale pre-trained encoder-decoder models and show that our method significantly outperforms the previous methods and also that our method has higher interpretability and computational efficiency than the previous methods.

2015

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Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction
Anh Tuan Luu | Jung-jae Kim | See Kiong Ng
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

2014

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Parse Ranking with Semantic Dependencies and WordNet
Xiaocheng Yin | Jung-Jae Kim | Zinaida Pozen | Francis Bond
Proceedings of the Seventh Global Wordnet Conference

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Taxonomy Construction Using Syntactic Contextual Evidence
Anh Tuan Luu | Jung-jae Kim | See Kiong Ng
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

2013

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Proceedings of the BioNLP Shared Task 2013 Workshop
Claire Nédellec | Robert Bossy | Jin-Dong Kim | Jung-jae Kim | Tomoko Ohta | Sampo Pyysalo | Pierre Zweigenbaum
Proceedings of the BioNLP Shared Task 2013 Workshop

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Overview of BioNLP Shared Task 2013
Claire Nédellec | Robert Bossy | Jin-Dong Kim | Jung-jae Kim | Tomoko Ohta | Sampo Pyysalo | Pierre Zweigenbaum
Proceedings of the BioNLP Shared Task 2013 Workshop

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GRO Task: Populating the Gene Regulation Ontology with events and relations
Jung-jae Kim | Xu Han | Vivian Lee | Dietrich Rebholz-Schuhmann
Proceedings of the BioNLP Shared Task 2013 Workshop

2010

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A Statistical NLP Approach for Feature and Sentiment Identification from Chinese Reviews
Zhen Hai | Kuiyu Chang | Qinbao Song | Jung-jae Kim
CIPS-SIGHAN Joint Conference on Chinese Language Processing

2009

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How Feasible and Robust is the Automatic Extraction of Gene Regulation Events? A Cross-Method Evaluation under Lab and Real-Life Conditions
Udo Hahn | Katrin Tomanek | Ekaterina Buyko | Jung-jae Kim | Dietrich Rebholz-Schuhmann
Proceedings of the BioNLP 2009 Workshop

2004

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BioAR: Anaphora Resolution for Relating Protein Names to Proteome Database Entries
Jung-Jae Kim | Jong C. Park
Proceedings of the Conference on Reference Resolution and Its Applications

2000

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Phrase-Pattern-based Korean to English Machine Translation using Two Level Translation Pattern Selection
Jung-jae Kim | Key-Sun Choi | Young-Soog Chae
Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics