@article{1e4fec40115e411bb5aa2f87c9d5522e,
title = "Attention-based argumentation mining",
abstract = "This paper is intended to make a breakthrough in argumentation mining field. Current trends in argumentation mining research use handcrafted features and traditional machine learning (e.g., support vector machine). We worked on two tasks: identifying argument components and recognising insufficiently supported arguments. We utilise deep learning approach and implement attention mechanism on top of it to gain the best result. We do also implement Hierarchical Attention Network (HAN) in this task. HAN is a neural network that gives attention to two levels, which are word-level and sentence-level. Deep learning with attention mechanism models can achieve better result compared with other deep learning methods. This paper also proves that on research task with hierarchically-structured data, HAN will perform remarkably well. We do present our result on using XGBoost instead of a regular non-ensemble classifier as well.",
keywords = "Argumentation mining, Attention mechanism, Deep learning, Hand-crafted features, Hierarchical attention network, Sentence-level, Word-level, XGBoost",
author = "Derwin Suhartono and Gema, {Aryo Pradipta} and Suhendro Winton and Theodorus David and Fanany, {Mohamad Ivan} and Arymurthy, {Aniati Murni}",
note = "Funding Information: Mohamad Ivan Fanany is a researcher and Lecturer at the Faculty of Computer Science, Universitas Indonesia. His research interests include machine learning, data science, and combining vision and graphics, remote sensing, climate modelling, biomedical engineering. Before joining the faculty, he worked at Future Project Div. Toyota Motor Corp, Japan, as a member of middleware development and recognition team; NHK ES Inc., as a researcher of IT21 Millennium Project on Advanced High Resolution and Highly Sensible Presence 3D Content Creation funded by NICT Japan; and a JSPS Fellow and Research Assistant at Imaging Science and Engineering, Tokyo Institute of Technology (Tokyo Tech). He served as the Chairman of Titech IEEE student branch 2002–2003. Currently a member of IEEE Consumers Electronics and IEEE Geoscience and Remote Sensing. In January 2015, he was elevated to senior member of IEEE. Publisher Copyright: Copyright {\textcopyright} 2019 Inderscience Enterprises Ltd.",
year = "2019",
month = jan,
day = "1",
doi = "10.1504/IJCVR.2019.102282",
language = "English",
volume = "9",
pages = "414--437",
journal = "International Journal of Computational Vision and Robotics",
issn = "1752-9131",
publisher = "Inderscience Enterprises Ltd",
number = "5",
}