Juyeon Kang


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Extractive Summarization System for Annual Reports
Abderrahim Ait Azzi | Juyeon Kang
Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation

In this paper, we report on our experiments in building a summarization system for generating summaries from annual reports. We adopt an “extractive” summarization approach in our hybrid system combining neural networks and rules-based algorithms with the expectation that such a system may capture key sentences or paragraphs from the data. A rules-based TOC (Table Of Contents) extraction and a binary classifier of narrative section titles are main components of our system allowing to identify narrative sections and best candidates for extracting final summaries. As result, we propose one to three summaries per document according to the classification score of narrative section titles.


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Data Anonymization for Requirements Quality Analysis: a Reproducible Automatic Error Detection Task
Juyeon Kang | Jungyeul Park
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)


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Generating a Linguistic Model for Requirement Quality Analysis
Juyeon Kang | Jungyeul Park
Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation: Posters


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Requirement Mining in Technical Documents
Juyeon Kang | Patrick Saint-Dizier
Proceedings of the First Workshop on Argumentation Mining


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Korean Parsing Based on the Applicative Combinatory Categorial Grammar
Juyeon Kang | Jean-Pierre Desclés
Proceedings of the 22nd Pacific Asia Conference on Language, Information and Computation