Juyeon Kang


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The Financial Document Structure Extraction Shared Task (FinTOC 2022)
Juyeon Kang | Abderrahim Ait Azzi | Sandra Bellato | Blanca Carbajo Coronado | Mahmoud El-Haj | Ismail El Maarouf | Mei Gan | Ana Gisbert | Antonio Moreno Sandoval
Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022

This paper describes the FinTOC-2022 Shared Task on the structure extraction from financial documents, its participants results and their findings. This shared task was organized as part of The 4th Financial Narrative Processing Workshop (FNP 2022), held jointly at The 13th Edition of the Language Resources and Evaluation Conference (LREC 2022), Marseille, France (El-Haj et al., 2022). This shared task aimed to stimulate research in systems for extracting table-of-contents (TOC) from investment documents (such as financial prospectuses) by detecting the document titles and organizing them hierarchically into a TOC. For the forth edition of this shared task, three subtasks were presented to the participants: one with English documents, one with French documents and the other one with Spanish documents. This year, we proposed a different and revised dataset for English and French compared to the previous editions of FinTOC and a new dataset for Spanish documents was added. The task attracted 6 submissions for each language from 4 teams, and the most successful methods make use of textual, structural and visual features extracted from the documents and propose classification models for detecting titles and TOCs for all of the subtasks.


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FinSim-3: The 3rd Shared Task on Learning Semantic Similarities for the Financial Domain
Juyeon Kang | Ismail El Maarouf | Sandra Bellato | Mei Gan
Proceedings of the Third Workshop on Financial Technology and Natural Language Processing

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The Financial Document Structure Extraction Shared Task (FinTOC2021)
Ismail El Maarouf | Juyeon Kang | Abderrahim Ait Azzi | Sandra Bellato | Mei Gan | Mahmoud El-Haj
Proceedings of the 3rd Financial Narrative Processing Workshop


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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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Système d’analyse catégorielle ACCG : adéquation au traitement de problèmes syntaxiques complexes (ACCG categorical analysis system: adequacy to the treatment of complex syntactic problems)
Juyeon Kang | Jean-Pierre Desclés
Actes de la 18e conférence sur le Traitement Automatique des Langues Naturelles. Démonstrations


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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