Argument Mining with Structured SVMs and RNNs

Vlad Niculae, Joonsuk Park, Claire Cardie
2017 Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
We propose a novel factor graph model for argument mining, designed for settings in which the argumentative relations in a document do not necessarily form a tree structure. (This is the case in over 20% of the web comments dataset we release.) Our model jointly learns elementary unit type classification and argumentative relation prediction. Moreover, our model supports SVM and RNN parametrizations, can enforce structure constraints (e.g., transitivity), and can express dependencies between
more » ... ndencies between adjacent relations and propositions. Our approaches outperform unstructured baselines in both web comments and argumentative essay datasets.
doi:10.18653/v1/p17-1091 dblp:conf/acl/NiculaePC17 fatcat:byjozupc6bed7pukyovgkbxoaa